Kernel Density Estimation and Intrinsic Alignment for Shape Priors in Level Set Segmentation
International Journal of Computer Vision
A DC-programming algorithm for kernel selection
ICML '06 Proceedings of the 23rd international conference on Machine learning
Collaborative ordinal regression
ICML '06 Proceedings of the 23rd international conference on Machine learning
Spatial data mining to support pandemic preparedness
ACM SIGKDD Explorations Newsletter
Assessing Approximate Inference for Binary Gaussian Process Classification
The Journal of Machine Learning Research
The Pyramid Match Kernel: Efficient Learning with Sets of Features
The Journal of Machine Learning Research
Preventing Over-Fitting during Model Selection via Bayesian Regularisation of the Hyper-Parameters
The Journal of Machine Learning Research
Bilinear Discriminant Component Analysis
The Journal of Machine Learning Research
Most likely heteroscedastic Gaussian process regression
Proceedings of the 24th international conference on Machine learning
Nonmyopic active learning of Gaussian processes: an exploration-exploitation approach
Proceedings of the 24th international conference on Machine learning
Hierarchical Gaussian process latent variable models
Proceedings of the 24th international conference on Machine learning
Discriminative Gaussian process latent variable model for classification
Proceedings of the 24th international conference on Machine learning
Multifactor Gaussian process models for style-content separation
Proceedings of the 24th international conference on Machine learning
Robust multi-task learning with t-processes
Proceedings of the 24th international conference on Machine learning
Multiclass multiple kernel learning
Proceedings of the 24th international conference on Machine learning
Clustering Based on Gaussian Processes
Neural Computation
The concept for Gaussian process model based system identification toolbox
CompSysTech '07 Proceedings of the 2007 international conference on Computer systems and technologies
Learning to Control in Operational Space
International Journal of Robotics Research
Grasp recognition for uncalibrated data gloves: A machine learning approach
Presence: Teleoperators and Virtual Environments
IPSN '08 Proceedings of the 7th international conference on Information processing in sensor networks
IPSN '08 Proceedings of the 7th international conference on Information processing in sensor networks
Nonnegative matrix factorization with Gaussian process priors
Computational Intelligence and Neuroscience - Advances in Nonnegative Matrix and Tensor Factorization
Gaussian process product models for nonparametric nonstationarity
Proceedings of the 25th international conference on Machine learning
Actively learning level-sets of composite functions
Proceedings of the 25th international conference on Machine learning
Fast Gaussian process methods for point process intensity estimation
Proceedings of the 25th international conference on Machine learning
Confidence-weighted linear classification
Proceedings of the 25th international conference on Machine learning
A reproducing kernel Hilbert space framework for pairwise time series distances
Proceedings of the 25th international conference on Machine learning
Online kernel selection for Bayesian reinforcement learning
Proceedings of the 25th international conference on Machine learning
Topologically-constrained latent variable models
Proceedings of the 25th international conference on Machine learning
Beam sampling for the infinite hidden Markov model
Proceedings of the 25th international conference on Machine learning
Learning to rank with SoftRank and Gaussian processes
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
The Journal of Machine Learning Research
Cross-Validation Optimization for Large Scale Structured Classification Kernel Methods
The Journal of Machine Learning Research
Kernels, regularization and differential equations
Pattern Recognition
Adaptive multi-robot wide-area exploration and mapping
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 1
Wireless device identification with radiometric signatures
Proceedings of the 14th ACM international conference on Mobile computing and networking
Gaussian processes for canonical correlation analysis
Neurocomputing
Efficient Implementation of an Optimal Interpolator for Large Spatial Data Sets
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part II
Approximating Gaussian Processes with ${\cal H}^2$-Matrices
ECML '07 Proceedings of the 18th European conference on Machine Learning
Efficient Continuous-Time Reinforcement Learning with Adaptive State Graphs
ECML '07 Proceedings of the 18th European conference on Machine Learning
Source Separation with Gaussian Process Models
ECML '07 Proceedings of the 18th European conference on Machine Learning
A Hilbert Space Embedding for Distributions
ALT '07 Proceedings of the 18th international conference on Algorithmic Learning Theory
Kernel Methods for Graphs: A Comprehensive Approach
KES '08 Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part II
Nonstationary Gaussian Process Regression Using Point Estimates of Local Smoothness
ECML PKDD '08 Proceedings of the European conference on Machine Learning and Knowledge Discovery in Databases - Part II
Ambiguity Modeling in Latent Spaces
MLMI '08 Proceedings of the 5th international workshop on Machine Learning for Multimodal Interaction
The Journal of Machine Learning Research
A sparse gaussian processes classification framework for fast tag suggestions
Proceedings of the 17th ACM conference on Information and knowledge management
Digital communication receivers using gaussian processes for machine learning
EURASIP Journal on Advances in Signal Processing
Active Learning for High Throughput Screening
DS '08 Proceedings of the 11th International Conference on Discovery Science
Generalizing motion edits with Gaussian processes
ACM Transactions on Graphics (TOG)
Online Sparse Matrix Gaussian Process Regression and Vision Applications
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
Probabilistic Inference for Fast Learning in Control
Recent Advances in Reinforcement Learning
Using Gaussian Processes to Optimize Expensive Functions
AI '08 Proceedings of the 21st Australasian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
Dimensionality reduction and polynomial chaos acceleration of Bayesian inference in inverse problems
Journal of Computational Physics
Visual Tracking Using Particle Filters with Gaussian Process Regression
PSIVT '09 Proceedings of the 3rd Pacific Rim Symposium on Advances in Image and Video Technology
Web Page Rank Prediction with PCA and EM Clustering
WAW '09 Proceedings of the 6th International Workshop on Algorithms and Models for the Web-Graph
The variational gaussian approximation revisited
Neural Computation
Consistent phrase relevance measures
Proceedings of the 2nd International Workshop on Data Mining and Audience Intelligence for Advertising
Gaussian process dynamic programming
Neurocomputing
Bagging for Gaussian process regression
Neurocomputing
Decentralized control of adaptive sampling in wireless sensor networks
ACM Transactions on Sensor Networks (TOSN)
A gaussian random field model of smooth fitness landscapes
Proceedings of the tenth ACM SIGEVO workshop on Foundations of genetic algorithms
Local Dimensionality Reduction for Non-Parametric Regression
Neural Processing Letters
Multi-sensor calibration through iterative registration and fusion
Computer-Aided Design
Learning gas distribution models using sparse Gaussian process mixtures
Autonomous Robots
Archipelago: nonparametric Bayesian semi-supervised learning
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Tractable nonparametric Bayesian inference in Poisson processes with Gaussian process intensities
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Analytic moment-based Gaussian process filtering
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Sequential Bayesian prediction in the presence of changepoints
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Non-linear matrix factorization with Gaussian processes
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Function factorization using warped Gaussian processes
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Hilbert space embeddings of conditional distributions with applications to dynamical systems
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
GMAC '09 Proceedings of the 6th international conference industry session on Grids meets autonomic computing
Regression-based latent factor models
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Toward autonomic grids: analyzing the job flow with affinity streaming
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
RECOMB 2'09 Proceedings of the 13th Annual International Conference on Research in Computational Molecular Biology
Combining feature spaces for classification
Pattern Recognition
A penalized likelihood based pattern classification algorithm
Pattern Recognition
Latent classification models for binary data
Pattern Recognition
Learning by local kernel polarization
Neurocomputing
Fast nonparametric matrix factorization for large-scale collaborative filtering
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
A probabilistic topic-based ranking framework for location-sensitive domain information retrieval
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Creation of Specific-to-Problem Kernel Functions for Function Approximation
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part I: Bio-Inspired Systems: Computational and Ambient Intelligence
Using Gaussian Processes in Bayesian Robot Programming
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part II: Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living
Trajectory Modeling Using Mixtures of Vector Fields
IbPRIA '09 Proceedings of the 4th Iberian Conference on Pattern Recognition and Image Analysis
Neural Network Optimization for Combinations in Identification Systems
MCS '09 Proceedings of the 8th International Workshop on Multiple Classifier Systems
Random Ordinality Ensembles$\colon$ A Novel Ensemble Method for Multi-valued Categorical Data
MCS '09 Proceedings of the 8th International Workshop on Multiple Classifier Systems
Fuzzy Gaussian Process Classification Model
ICIAR '09 Proceedings of the 6th International Conference on Image Analysis and Recognition
A survey of computer systems for expressive music performance
ACM Computing Surveys (CSUR)
Estimating instantaneous irregularity of neuronal firing
Neural Computation
Validation-based sparse gaussian process classifier design
Neural Computation
Prediction of Mechanical Lung Parameters Using Gaussian Process Models
AIME '09 Proceedings of the 12th Conference on Artificial Intelligence in Medicine: Artificial Intelligence in Medicine
Classification of Protein Interaction Sentences via Gaussian Processes
PRIB '09 Proceedings of the 4th IAPR International Conference on Pattern Recognition in Bioinformatics
Human Age Estimation by Metric Learning for Regression Problems
EMMCVPR '09 Proceedings of the 7th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition
Causality Discovery with Additive Disturbances: An Information-Theoretical Perspective
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II
Semi-Supervised Multi-Task Regression
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part I
Feature Selection for Value Function Approximation Using Bayesian Model Selection
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part I
Learning Preferences with Hidden Common Cause Relations
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part I
Nonmyopic informative path planning in spatio-temporal models
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
Centralized modeling of the communication space for spectral awareness in cognitive radio networks
ACM SIGMOBILE Mobile Computing and Communications Review
Learning document-level semantic properties from free-text annotations
Journal of Artificial Intelligence Research
Efficient informative sensing using multiple robots
Journal of Artificial Intelligence Research
Automatic gait optimization with Gaussian process regression
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Semi-supervised Gaussian process classifiers
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
WiFi-SLAM using Gaussian process latent variable models
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Globally Optimal Multi-agent Reinforcement Learning Parameters in Distributed Task Assignment
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 02
Kernel Methods in Computer Vision
Foundations and Trends® in Computer Graphics and Vision
Representing images of a rotating object with cyclic permutation for view-based pose estimation
Computer Vision and Image Understanding
Gaussian process regressors for multiuser detection in DS-CDMA systems
IEEE Transactions on Communications
Extended kernel recursive least squares algorithm
IEEE Transactions on Signal Processing
Detection and prognostics on low-dimensional systems
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Sparse Bayesian modeling with adaptive kernel learning
IEEE Transactions on Neural Networks
Decentralised coordination of mobile sensors using the max-sum algorithm
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Semi-supervised classification using sparse Gaussian process regression
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Multi-relational learning with Gaussian processes
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Multiclass probabilistic kernel discriminant analysis
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Learning kinematic models for articulated objects
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
A sparse covariance function for exact Gaussian process inference in large datasets
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Features and Metric from a Classifier Improve Visualizations with Dimension Reduction
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part II
Conditional Density Estimation with Class Probability Estimators
ACML '09 Proceedings of the 1st Asian Conference on Machine Learning: Advances in Machine Learning
Generating Video Textures by PPCA and Gaussian Process Dynamical Model
CIARP '09 Proceedings of the 14th Iberoamerican Conference on Pattern Recognition: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Active Learning Image Spam Hunter
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part II
Metric Learning for Regression Problems and Human Age Estimation
PCM '09 Proceedings of the 10th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Approximate dynamic programming using Bellman residual elimination and Gaussian process regression
ACC'09 Proceedings of the 2009 conference on American Control Conference
Mobile sensor networks for learning anisotropic Gaussian processes
ACC'09 Proceedings of the 2009 conference on American Control Conference
Which landmark is useful?: learning selection policies for navigation in unknown environments
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Modeling RFID signal strength and tag detection for localization and mapping
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
A guidance and control strategy for dynamic soaring with a gliding UAV
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Anatomically correct testbed hand control: muscle and joint control strategies
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Adaptive autonomous control using online value iteration with Gaussian processes
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Gaussian process modeling of large scale terrain
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Contextual occupancy maps using Gaussian processes
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Gaussian process for long-term time-series forecasting
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
BioMED '08 Proceedings of the Sixth IASTED International Conference on Biomedical Engineering
Twin Gaussian Processes for Structured Prediction
International Journal of Computer Vision
Multiscale sensing with stochastic modeling
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Active learning using mean shift optimization for robot grasping
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Sparse online model learning for robot control with support vector regression
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Designing Model Based Classifiers by Emphasizing Soft Targets
Fundamenta Informaticae - Advances in Artificial Intelligence and Applications
Homography normalization for robust gaze estimation in uncalibrated setups
Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications
Gaussian Processes for Object Categorization
International Journal of Computer Vision
A utility-based adaptive sensing and multihop communication protocol for wireless sensor networks
ACM Transactions on Sensor Networks (TOSN)
Evolutionary Model Type Selection for Global Surrogate Modeling
The Journal of Machine Learning Research
Second-Order Bilinear Discriminant Analysis
The Journal of Machine Learning Research
SSVM'07 Proceedings of the 1st international conference on Scale space and variational methods in computer vision
IEEE Transactions on Signal Processing
Joint nonlinear channel equalization and soft LDPC decoding with Gaussian processes
IEEE Transactions on Signal Processing
A Bayesian 3D volume reconstruction for confocal micro-rotation cell imaging
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention
Modeling human locomotion with topologically constrained latent variable models
Proceedings of the 2nd conference on Human motion: understanding, modeling, capture and animation
Gaussian process latent variable models for human pose estimation
MLMI'07 Proceedings of the 4th international conference on Machine learning for multimodal interaction
Bayesian optimization for sensor set selection
Proceedings of the 9th ACM/IEEE International Conference on Information Processing in Sensor Networks
Identifying confounders using additive noise models
UAI '09 Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence
A nonparametric learning approach to range sensing from omnidirectional vision
Robotics and Autonomous Systems
Efficient hold-out for subset of regressors
ICANNGA'09 Proceedings of the 9th international conference on Adaptive and natural computing algorithms
EEG signals classification for brain computer interfaces based on Gaussian process classifier
ICICS'09 Proceedings of the 7th international conference on Information, communications and signal processing
Active learning and basis selection for kernel-based linear models: a Bayesian perspective
IEEE Transactions on Signal Processing
Relevance units latent variable model and nonlinear dimensionality reduction
IEEE Transactions on Neural Networks
OP-ELM: optimally pruned extreme learning machine
IEEE Transactions on Neural Networks
Non-parametric Learning to Aid Path Planning over Slopes
International Journal of Robotics Research
Expensive multiobjective optimization by MOEA/D with Gaussian process model
IEEE Transactions on Evolutionary Computation
Varieties of Justification in Machine Learning
Minds and Machines
Combining active learning and reactive control for robot grasping
Robotics and Autonomous Systems
Reduced-memory decoding of low-density lattice codes
IEEE Communications Letters
Eye gaze tracking with free head movements using a single camera
Proceedings of the 2010 Symposium on Information and Communication Technology
Simple algorithmic modifications for improving blind steganalysis performance
Proceedings of the 12th ACM workshop on Multimedia and security
Hilbert Space Embeddings and Metrics on Probability Measures
The Journal of Machine Learning Research
How to Explain Individual Classification Decisions
The Journal of Machine Learning Research
Sparse Spectrum Gaussian Process Regression
The Journal of Machine Learning Research
On Over-fitting in Model Selection and Subsequent Selection Bias in Performance Evaluation
The Journal of Machine Learning Research
Bayesian Monte Carlo for the Global Optimization of Expensive Functions
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
Adaptive Gaussian Process for Short-Term Wind Speed Forecasting
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
A characterization of the time-rescaled gamma process as a model for spike trains
Journal of Computational Neuroscience
A new look at state-space models for neural data
Journal of Computational Neuroscience
Journal of Computational Neuroscience
Marginalized neural network mixtures for large-scale regression
IEEE Transactions on Neural Networks
FM radio for indoor localization with spontaneous recalibration
Pervasive and Mobile Computing
Various approaches for constructing an ensemble of metamodels using local measures
Structural and Multidisciplinary Optimization
Learning to predict readability using diverse linguistic features
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
EEG signals for emotion recognition
Journal of Computational Methods in Sciences and Engineering - Special Supplement Issue in Section A and B: Selected Papers from the ISCA International Conference on Software Engineering and Data Engineering, 2009
Coupled Gaussian process regression for pose-invariant facial expression recognition
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part II
Characteristic kernels on structured domains excel in robotics and human action recognition
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part I
Gaussian processes for sample efficient reinforcement learning with RMAX-like exploration
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part I
Topic models conditioned on relations
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part III
Shift-invariant grouped multi-task learning for Gaussian processes
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part III
Incorporating domain models into Bayesian optimization for RL
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part III
Fast active exploration for link-based preference learning using Gaussian processes
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part III
Clustered Nyström method for large scale manifold learning and dimension reduction
IEEE Transactions on Neural Networks
Facial expression recognition in JAFFE dataset based on Gaussian process classification
IEEE Transactions on Neural Networks
An identity for kernel ridge regression
ALT'10 Proceedings of the 21st international conference on Algorithmic learning theory
Time-bounded sequential parameter optimization
LION'10 Proceedings of the 4th international conference on Learning and intelligent optimization
Extracting optimal datasets for metamodelling and perspectives for incremental samplings
Mathematics and Computers in Simulation
Correlating system test Fmax with structural test Fmax and process monitoring measurements
Proceedings of the 2010 Asia and South Pacific Design Automation Conference
Using Gaussian Process with Test Rejection to Detect T-Cell Epitopes in Pathogen Genomes
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
A Bayesian interactive optimization approach to procedural animation design
Proceedings of the 2010 ACM SIGGRAPH/Eurographics Symposium on Computer Animation
Automatic tag recommendation algorithms for social recommender systems
ACM Transactions on the Web (TWEB)
Robust sensor placements at informative and communication-efficient locations
ACM Transactions on Sensor Networks (TOSN)
A comprehensive approach to image spam detection: from server to client solution
IEEE Transactions on Information Forensics and Security
Task-specific generalization of discrete and periodic dynamic movement primitives
IEEE Transactions on Robotics
Learning GP-BayesFilters via Gaussian process latent variable models
Autonomous Robots
Bounded approximate decentralised coordination via the max-sum algorithm
Artificial Intelligence
Classification of microorganisms via Raman spectroscopy using Gaussian processes
Proceedings of the 32nd DAGM conference on Pattern recognition
Learning non-stationary system dynamics online using Gaussian processes
Proceedings of the 32nd DAGM conference on Pattern recognition
One-shot learning of object categories using dependent Gaussian processes
Proceedings of the 32nd DAGM conference on Pattern recognition
Gaussian mixture modeling with Gaussian process latent variable models
Proceedings of the 32nd DAGM conference on Pattern recognition
Manifold learning for object tracking with multiple motion dynamics
ECCV'10 Proceedings of the 11th European conference on computer vision conference on Computer vision: Part III
2D action recognition serves 3D human pose estimation
ECCV'10 Proceedings of the 11th European conference on computer vision conference on Computer vision: Part III
The influence of the image basis on modeling and steganalysis performance
IH'10 Proceedings of the 12th international conference on Information hiding
The application of stochastic machine learning methods in the prediction of skin penetration
Applied Soft Computing
Learning the behavior model of a robot
Autonomous Robots
Learning parametric dynamic movement primitives from multiple demonstrations
ICONIP'10 Proceedings of the 17th international conference on Neural information processing: theory and algorithms - Volume Part I
Spectral domain noise suppression in dual-sensor hyperspectral imagery using Gaussian processes
ICONIP'10 Proceedings of the 17th international conference on Neural information processing: models and applications - Volume Part II
Protein interaction detection in sentences via Gaussian Processes: a preliminary evaluation
International Journal of Data Mining and Bioinformatics
Multifactor feature extraction for human movement recognition
Computer Vision and Image Understanding
Gaussian processes for fast policy optimisation of POMDP-based dialogue managers
SIGDIAL '10 Proceedings of the 11th Annual Meeting of the Special Interest Group on Discourse and Dialogue
SEAL'10 Proceedings of the 8th international conference on Simulated evolution and learning
Empowerment for continuous agent-environment systems
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Gaussian Processes for Machine Learning (GPML) Toolbox
The Journal of Machine Learning Research
Bayesian Generalized Kernel Mixed Models
The Journal of Machine Learning Research
Learning to re-rank: query-dependent image re-ranking using click data
Proceedings of the 20th international conference on World wide web
One-class classification with gaussian processes
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part II
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part IV
Computers in Biology and Medicine
Prior kowledge in larning fnite prameter saces
FG'09 Proceedings of the 14th international conference on Formal grammar
Multi-objective optimization with joint probabilistic modeling of objectives and variables
EMO'11 Proceedings of the 6th international conference on Evolutionary multi-criterion optimization
Multiclass Kernel-Imbedded Gaussian Processes for Microarray Data Analysis
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Latent fingerprint rarity analysis in Madrid bombing case
IWCF'10 Proceedings of the 4th international conference on Computational forensics
Output-error model training for gaussian process models
ICANNGA'11 Proceedings of the 10th international conference on Adaptive and natural computing algorithms - Volume Part II
Optimization of gaussian process models with evolutionary algorithms
ICANNGA'11 Proceedings of the 10th international conference on Adaptive and natural computing algorithms - Volume Part I
ACIIDS'11 Proceedings of the Third international conference on Intelligent information and database systems - Volume Part II
A bayesian approach to online performance modeling for database appliances using gaussian models
Proceedings of the 8th ACM international conference on Autonomic computing
Regression based automatic face annotation for deformable model building
Pattern Recognition
Transfer latent variable model based on divergence analysis
Pattern Recognition
Adaptive compression for 3D laser data
International Journal of Robotics Research
Probabilistic auto-tuning for architectures with complex constraints
Proceedings of the 1st International Workshop on Adaptive Self-Tuning Computing Systems for the Exaflop Era
Predicting Articulated Human Motion from Spatial Processes
International Journal of Computer Vision
Efficient Gaussian process classification using random decision forests
Pattern Recognition and Image Analysis
Geometric generalisation of surrogate model based optimisation to combinatorial spaces
EvoCOP'11 Proceedings of the 11th European conference on Evolutionary computation in combinatorial optimization
An efficient EM approach to parameter learning of the mixture of gaussian processes
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part II
Regression conformal prediction with nearest neighbours
Journal of Artificial Intelligence Research
Domain Decomposition Approach for Fast Gaussian Process Regression of Large Spatial Data Sets
The Journal of Machine Learning Research
Dirichlet Process Mixtures of Generalized Linear Models
The Journal of Machine Learning Research
Information Rates of Nonparametric Gaussian Process Methods
The Journal of Machine Learning Research
Modeling mental workload using EEG features for intelligent systems
UMAP'11 Proceedings of the 19th international conference on User modeling, adaption, and personalization
Online incremental learning of inverse dynamics incorporating prior knowledge
AIS'11 Proceedings of the Second international conference on Autonomous and intelligent systems
Sparse Spatio-temporal Gaussian processes with general likelihoods
ICANN'11 Proceedings of the 21th international conference on Artificial neural networks - Volume Part I
Learning curves for Gaussian processes via numerical cubature integration
ICANN'11 Proceedings of the 21th international conference on Artificial neural networks - Volume Part I
Semi-supervised learning for WLAN positioning
ICANN'11 Proceedings of the 21th international conference on Artificial neural networks - Volume Part I
Linear operators and stochastic partial differential equations in Gaussian process regression
ICANN'11 Proceedings of the 21st international conference on Artificial neural networks - Volume Part II
Learning from multiple annotators with Gaussian processes
ICANN'11 Proceedings of the 21st international conference on Artificial neural networks - Volume Part II
Improving Gaussian process value function approximation in policy gradient algorithms
ICANN'11 Proceedings of the 21st international conference on Artificial neural networks - Volume Part II
ACM Transactions on Interactive Intelligent Systems (TiiS)
Active Markov information-theoretic path planning for robotic environmental sensing
The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
On the Curse of Dimensionality in Supervised Learning of Smooth Regression Functions
Neural Processing Letters
Probabilistic lane estimation for autonomous driving using basis curves
Autonomous Robots
Using landmarks as a deformation prior for hybrid image registration
DAGM'11 Proceedings of the 33rd international conference on Pattern recognition
Robust classification and semi-supervised object localization with Gaussian processes
DAGM'11 Proceedings of the 33rd international conference on Pattern recognition
A Bayesian nonparametric approach to modeling motion patterns
Autonomous Robots
Human action recognition based on random spectral regression
AICI'11 Proceedings of the Third international conference on Artificial intelligence and computational intelligence - Volume Part III
A probabilistic framework for learning kinematic models of articulated objects
Journal of Artificial Intelligence Research
Harvesting facts from textual web sources by constrained label propagation
Proceedings of the 20th ACM international conference on Information and knowledge management
Reliability-based design optimization using kriging surrogates and subset simulation
Structural and Multidisciplinary Optimization
Human group activity analysis with fusion of motion and appearance information
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Recurrent kernel machines: Computing with infinite echo state networks
Neural Computation
The Journal of Machine Learning Research
Convergence Rates of Efficient Global Optimization Algorithms
The Journal of Machine Learning Research
Hierarchical Knowledge Gradient for Sequential Sampling
The Journal of Machine Learning Research
Computing $f(A)b$ via Least Squares Polynomial Approximations
SIAM Journal on Scientific Computing
Domain-Decomposition-Type Methods for Computing the Diagonal of a Matrix Inverse
SIAM Journal on Scientific Computing
Bayesian assimilation of multi-fidelity finite element models
Computers and Structures
Performance prediction and automated tuning of randomized and parametric algorithms
CP'06 Proceedings of the 12th international conference on Principles and Practice of Constraint Programming
Fast variational inference for gaussian process models through KL-Correction
ECML'06 Proceedings of the 17th European conference on Machine Learning
Bayesian active learning for sensitivity analysis
ECML'06 Proceedings of the 17th European conference on Machine Learning
Gaussian process occupancy maps*
International Journal of Robotics Research
Supervised neighborhood graph construction for semi-supervised classification
Pattern Recognition
Overlapping Mixtures of Gaussian Processes for the data association problem
Pattern Recognition
STPMiner: a highperformance spatiotemporal pattern mining toolbox
Proceedings of the 2nd international workshop on Petascal data analytics: challenges and opportunities
Unsupervised pattern discovery in electronic health care data using probabilistic clustering models
Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium
Greener aviation with virtual sensors: a case study
Data Mining and Knowledge Discovery
Pattern classification using a penalized likelihood method
ANNPR'10 Proceedings of the 4th IAPR TC3 conference on Artificial Neural Networks in Pattern Recognition
A new monte carlo-based error rate estimator
ANNPR'10 Proceedings of the 4th IAPR TC3 conference on Artificial Neural Networks in Pattern Recognition
Implementing a gaussian process learning algorithm in mixed parallel environment
Proceedings of the second workshop on Scalable algorithms for large-scale systems
Gaussian process motion graph models for smooth transitions among multiple actions
Computer Vision and Image Understanding
Information Sciences: an International Journal
Learning gradients with gaussian processes
PAKDD'10 Proceedings of the 14th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part II
Modeling long-term search engine usage
UMAP'10 Proceedings of the 18th international conference on User Modeling, Adaptation, and Personalization
A framework for optimization under limited information
Proceedings of the 5th International ICST Conference on Performance Evaluation Methodologies and Tools
Journal of Computational Physics
Estimating human pose from occluded images
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part I
Temporal-Spatial local gaussian process experts for human pose estimation
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part I
Machine Recognition of Music Emotion: A Review
ACM Transactions on Intelligent Systems and Technology (TIST)
Discriminative human full-body pose estimation from wearable inertial sensor data
3DPH'09 Proceedings of the 2009 international conference on Modelling the Physiological Human
Some research on functional data analysis
ICSI'10 Proceedings of the First international conference on Advances in Swarm Intelligence - Volume Part II
A nonparametric Bayesian approach toward robot learning by demonstration
Robotics and Autonomous Systems
Foundations and Trends® in Computer Graphics and Vision
Age estimation using bayesian process
PAKDD'11 Proceedings of the 15th international conference on New Frontiers in Applied Data Mining
Nonparametric modelling of ECG: applications to denoising and to single sensor fetal ECG extraction
LVA/ICA'12 Proceedings of the 10th international conference on Latent Variable Analysis and Signal Separation
Proceedings of the 21st international conference on World Wide Web
Random search for hyper-parameter optimization
The Journal of Machine Learning Research
Eliminating spammers and ranking annotators for crowdsourced labeling tasks
The Journal of Machine Learning Research
A case study on meta-generalising: a Gaussian processes approach
The Journal of Machine Learning Research
GPLP: a local and parallel computation toolbox for Gaussian process regression
The Journal of Machine Learning Research
Semi-random model tree ensembles: an effective and scalable regression method
AI'11 Proceedings of the 24th international conference on Advances in Artificial Intelligence
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Large-scale Gaussian process classification using random decision forests
Pattern Recognition and Image Analysis
PLISS: labeling places using online changepoint detection
Autonomous Robots
Data-driven Kriging models based on FANOVA-decomposition
Statistics and Computing
Dynamic GP models: an overview and recent developments
ASM'12 Proceedings of the 6th international conference on Applied Mathematics, Simulation, Modelling
Reconstructing and analyzing periodic human motion from stationary monocular views
Computer Vision and Image Understanding
To better stand on the shoulder of giants
Proceedings of the 12th ACM/IEEE-CS joint conference on Digital Libraries
International Journal of Robotics Research
ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part II
"Smart" design space sampling to predict Pareto-optimal solutions
Proceedings of the 13th ACM SIGPLAN/SIGBED International Conference on Languages, Compilers, Tools and Theory for Embedded Systems
Using Gaussian processes to optimise concession in complex negotiations against unknown opponents
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume One
Multi-kernel Gaussian processes
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
A hierarchical architecture for adaptive brain-computer interfacing
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
Reinforcement learning to adjust robot movements to new situations
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
Adaptive data compression for robot perception
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
Multi-output local Gaussian process regression: Applications to uncertainty quantification
Journal of Computational Physics
Learning where to attend with deep architectures for image tracking
Neural Computation
The effect of the nugget on Gaussian process emulators of computer models
Computational Statistics & Data Analysis
Coupled Action Recognition and Pose Estimation from Multiple Views
International Journal of Computer Vision
Constrained efficient global optimization with support vector machines
Structural and Multidisciplinary Optimization
An experimental methodology for response surface optimization methods
Journal of Global Optimization
Stable Evaluation of Gaussian Radial Basis Function Interpolants
SIAM Journal on Scientific Computing
Difference Filter Preconditioning for Large Covariance Matrices
SIAM Journal on Matrix Analysis and Applications
Dictionary Learning for Noisy and Incomplete Hyperspectral Images
SIAM Journal on Imaging Sciences
On Dimension-independent Rates of Convergence for Function Approximation with Gaussian Kernels
SIAM Journal on Numerical Analysis
A Matrix-free Approach for Solving the Parametric Gaussian Process Maximum Likelihood Problem
SIAM Journal on Scientific Computing
Value function approximation through sparse bayesian modeling
EWRL'11 Proceedings of the 9th European conference on Recent Advances in Reinforcement Learning
Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
Reinforcement learning transfer via sparse coding
Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
Variational multinomial logit gaussian process
The Journal of Machine Learning Research
Entropy search for information-efficient global optimization
The Journal of Machine Learning Research
Confidence-weighted linear classification for text categorization
The Journal of Machine Learning Research
Learning a concept-based document similarity measure
Journal of the American Society for Information Science and Technology
Kernels for Vector-Valued Functions: A Review
Foundations and Trends® in Machine Learning
Modeling spatial dependencies and semantic concepts in data mining
Proceedings of the 3rd International Conference on Computing for Geospatial Research and Applications
Efficient space-time modeling for informative sensing
Proceedings of the Sixth International Workshop on Knowledge Discovery from Sensor Data
Model-based ambient occlusion for inverse rendering
ICIAR'12 Proceedings of the 9th international conference on Image Analysis and Recognition - Volume Part I
Designing Model Based Classifiers by Emphasizing Soft Targets
Fundamenta Informaticae - Advances in Artificial Intelligence and Applications
On-line motion synthesis and adaptation using a trajectory database
Robotics and Autonomous Systems
Motion graphs++: a compact generative model for semantic motion analysis and synthesis
ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH Asia 2012
IDEAL'12 Proceedings of the 13th international conference on Intelligent Data Engineering and Automated Learning
Bayesian inference with optimal maps
Journal of Computational Physics
ACM Transactions on Sensor Networks (TOSN)
A user-specific machine learning approach for improving touch accuracy on mobile devices
Proceedings of the 25th annual ACM symposium on User interface software and technology
Machine learning models for uncertain interaction
Adjunct proceedings of the 25th annual ACM symposium on User interface software and technology
Structural and Multidisciplinary Optimization
Learning relevance from natural eye movements in pervasive interfaces
Proceedings of the 14th ACM international conference on Multimodal interaction
Audio-visual emotion challenge 2012: a simple approach
Proceedings of the 14th ACM international conference on Multimodal interaction
Proceedings of the 20th ACM international conference on Multimedia
Analysis of dance movements using gaussian processes: extended abstract
Proceedings of the 20th ACM international conference on Multimedia
Data fusion with Gaussian processes
Robotics and Autonomous Systems
CoNet: feature generation for multi-view semi-supervised learning with partially observed views
Proceedings of the 21st ACM international conference on Information and knowledge management
A Bayesian active learning framework for a two-class classification problem
MUSCLE'11 Proceedings of the 2011 international conference on Computational Intelligence for Multimedia Understanding
Inverse rendering of faces on a cloudy day
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part III
Large-scale gaussian process classification with flexible adaptive histogram kernels
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part IV
A structured view on sources of uncertainty in supervised learning
SUM'12 Proceedings of the 6th international conference on Scalable Uncertainty Management
Sparse gaussian processes for multi-task learning
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part I
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part II
Unsupervised inference of auditory attention from biosensors
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part II
Pedestrian quantity estimation with trajectory patterns
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part II
Modelling input varying correlations between multiple responses
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part II
The application of gaussian processes in the predictions of permeability across mammalian membranes
ICANN'12 Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part II
Self-Avoiding Random Dynamics on Integer Complex Systems
ACM Transactions on Modeling and Computer Simulation (TOMACS) - Special Issue on Monte Carlo Methods in Statistics
Surrogate modeling of microwave structures using kriging, co-kriging, and space mapping
International Journal of Numerical Modelling: Electronic Networks, Devices and Fields
Model building for dynamic multi-tenant provider environments
ACM SIGOPS Operating Systems Review
Lies, damn lies and preferences: a Gaussian process model for ubiquitous thermal preference trials
BuildSys '12 Proceedings of the Fourth ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings
ANOVA kernels and RKHS of zero mean functions for model-based sensitivity analysis
Journal of Multivariate Analysis
High-dimensional model-based optimization based on noisy evaluations of computer games
LION'12 Proceedings of the 6th international conference on Learning and Intelligent Optimization
Reinforcement learning transfer using a sparse coded inter-task mapping
EUMAS'11 Proceedings of the 9th European conference on Multi-Agent Systems
Validation based sparse gaussian processes for ordinal regression
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part II
Spatial correlation modeling for probe test cost reduction in RF devices
Proceedings of the International Conference on Computer-Aided Design
Design strategies for high-dimensional electromagnetic systems
Proceedings of the International Conference on Computer-Aided Design
Optimization via simulation with Bayesian statistics and dynamic programming
Proceedings of the Winter Simulation Conference
Generation of a cokriging metamodel using a multiparametric strategy
Computational Mechanics
Value of information methods for pairwise sampling with correlations
Proceedings of the Winter Simulation Conference
Calibrating simulation models using the knowledge gradient with continuous parameters
Proceedings of the Winter Simulation Conference
Near-optimal continuous patrolling with teams of mobile information gathering agents
Artificial Intelligence
A probabilistic least squares approach to ordinal regression
AI'12 Proceedings of the 25th Australasian joint conference on Advances in Artificial Intelligence
Neuro-Fuzzy approach to video transmission over ZigBee
Neurocomputing
Online learning with multiple kernels: A review
Neural Computation
A framework for optimization under limited information
Journal of Global Optimization
Cost estimation of custom hoses from STL files and CAD drawings
Computers in Industry
Particle swarm classification: A survey and positioning
Pattern Recognition
Worst-case global optimization of black-box functions through Kriging and relaxation
Journal of Global Optimization
Spatiotemporal data mining in the era of big spatial data: algorithms and applications
Proceedings of the 1st ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data
3D motion estimation of human body from video with dynamic camera work
MPRSS'12 Proceedings of the First international conference on Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction
Parametric optimization of reconfigurable designs using machine learning
ARC'13 Proceedings of the 9th international conference on Reconfigurable Computing: architectures, tools, and applications
Stochastic structural dynamic analysis using Bayesian emulators
Computers and Structures
A multi-task learning approach for the extraction of single-trial evoked potentials
Computer Methods and Programs in Biomedicine
Novelty and interestingness measures for design-space exploration
Proceedings of the 15th annual conference on Genetic and evolutionary computation
Information transmission using non-poisson regular firing
Neural Computation
Mining user behaviours: a study of check-in patterns in location based social networks
Proceedings of the 5th Annual ACM Web Science Conference
Information capacity of full-body movements
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Adaptive regularization of weight vectors
Machine Learning
Towards building performance models for data-intensive workloads in public clouds
Proceedings of the 4th ACM/SPEC International Conference on Performance Engineering
Model guided sampling optimization with gaussian processes for expensive black-box optimization
Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
Boosting with side information
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part I
Rapid uncertainty computation with gaussian processes and histogram intersection kernels
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part II
A computational approach to body mass index prediction from face images
Image and Vision Computing
Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
Optimizing complex automated negotiation using sparse pseudo-input gaussian processes
Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
AgentSwitch: towards smart energy tariff selection
Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
Handling discontinuous effects in modeling spatial correlation of wafer-level analog/RF tests
Proceedings of the Conference on Design, Automation and Test in Europe
Data-driven glove calibration for hand motion capture
Proceedings of the 12th ACM SIGGRAPH/Eurographics Symposium on Computer Animation
Adaptive collective routing using gaussian process dynamic congestion models
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
User-specific touch models in a cross-device context
Proceedings of the 15th international conference on Human-computer interaction with mobile devices and services
Active planning for underwater inspection and the benefit of adaptivity
International Journal of Robotics Research
Control strategies for the index finger of a tendon-driven hand
International Journal of Robotics Research
Learning to select and generalize striking movements in robot table tennis
International Journal of Robotics Research
Gaussian Process Gauss-Newton for non-parametric simultaneous localization and mapping
International Journal of Robotics Research
Semi-parametric learning for visual odometry
International Journal of Robotics Research
Iterative test suites refinement for elastic computing systems
Proceedings of the 2013 9th Joint Meeting on Foundations of Software Engineering
Gaussian process-based predictive modeling for bus ridership
Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication
Large-margin multi-view Gaussian process for image classification
Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service
Image super resolution using Gaussian Process Regression with patch clustering
Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service
Variable risk control via stochastic optimization
International Journal of Robotics Research
Probabilistic movement modeling for intention inference in human-robot interaction
International Journal of Robotics Research
Conditional estimation for dependent functional data
Journal of Multivariate Analysis
An evaluation of sequential model-based optimization for expensive blackbox functions
Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
Nested expectation propagation for Gaussian process classification
The Journal of Machine Learning Research
A framework for evaluating approximation methods for Gaussian process regression
The Journal of Machine Learning Research
Quasi-Newton methods: a new direction
The Journal of Machine Learning Research
Multi-task regression using minimal penalties
The Journal of Machine Learning Research
Examples of inconsistency in optimization by expected improvement
Journal of Global Optimization
A branch and bound algorithm for the global optimization of Hessian Lipschitz continuous functions
Journal of Global Optimization
Iterative numerical methods for sampling from high dimensional Gaussian distributions
Statistics and Computing
Scenario Trees and Policy Selection for Multistage Stochastic Programming Using Machine Learning
INFORMS Journal on Computing
Proceedings of the 2013 Conference on Eye Tracking South Africa
One-class classification with Gaussian processes
Pattern Recognition
Extreme learning machine: a robust modeling technique? yes!
IWANN'13 Proceedings of the 12th international conference on Artificial Neural Networks: advances in computational intelligence - Volume Part I
Minimal learning machine: a new distance-based method for supervised learning
IWANN'13 Proceedings of the 12th international conference on Artificial Neural Networks: advances in computational intelligence - Volume Part I
Probabilistic model-based imitation learning
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
A Scalable Low-Cost Solution to Provide Personalised Home Heating Advice to Households
Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings
Motion planning and reactive control on learnt skill manifolds
International Journal of Robotics Research
Reinforcement learning in robotics: A survey
International Journal of Robotics Research
Learning and designing stochastic processes from logical constraints
QEST'13 Proceedings of the 10th international conference on Quantitative Evaluation of Systems
Model checking markov population models by central limit approximation
QEST'13 Proceedings of the 10th international conference on Quantitative Evaluation of Systems
Supporting user-defined functions on uncertain data
Proceedings of the VLDB Endowment
Active learning for teaching a robot grounded relational symbols
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Bayesian optimization in high dimensions via random embeddings
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Short-term wind power forecasting using Gaussian processes
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
An implementation of framework of business intelligence for agent-based simulation
Proceedings of the Fourth Symposium on Information and Communication Technology
On the generation of a variety of grasps
Robotics and Autonomous Systems
Neuro-SVM Anticipatory System for Online Monitoring of Radiation and Abrupt Change Detection
International Journal of Monitoring and Surveillance Technologies Research
A portable ground-truth system based on a laser sensor
Robot Soccer World Cup XV
Nonparametric bayesian upstream supervised multi-modal topic models
Proceedings of the 7th ACM international conference on Web search and data mining
Active learning of intuitive control knobs for synthesizers using gaussian processes
Proceedings of the 19th international conference on Intelligent User Interfaces
Analog behavior in custom IC variation-aware design
Proceedings of the International Conference on Computer-Aided Design
I want to know more--efficient multi-class incremental learning using Gaussian processes
Pattern Recognition and Image Analysis
Algorithm runtime prediction: Methods & evaluation
Artificial Intelligence
Mixtures of Gaussian process models for human pose estimation
Image and Vision Computing
User demographics prediction based on mobile data
Pervasive and Mobile Computing
Journal of Computational Physics
Efficient optimization of the likelihood function in Gaussian process modelling
Computational Statistics & Data Analysis
Random walk kernels and learning curves for Gaussian process regression on random graphs
The Journal of Machine Learning Research
Construction of approximation spaces for reinforcement learning
The Journal of Machine Learning Research
Gaussian Kullback-Leibler approximate inference
The Journal of Machine Learning Research
The Journal of Machine Learning Research
Perturbative corrections for approximate inference in Gaussian latent variable models
The Journal of Machine Learning Research
Multivariate convex regression with adaptive partitioning
The Journal of Machine Learning Research
A benchmark of kriging-based infill criteria for noisy optimization
Structural and Multidisciplinary Optimization
Regressing Local to Global Shape Properties for Online Segmentation and Tracking
International Journal of Computer Vision
Detecting People Looking at Each Other in Videos
International Journal of Computer Vision
Journal of Multivariate Analysis
A unified SVM framework for signal estimation
Digital Signal Processing
Gaussian Processes for POMDP-Based Dialogue Manager Optimization
IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP)
Properties of the posterior distribution of a regression model based on Gaussian random fields
Automation and Remote Control
Towards informative sensor-based grasp planning
Robotics and Autonomous Systems
International Journal of Computer Vision
A local adaptive sampling method for reliability-based design optimization using Kriging model
Structural and Multidisciplinary Optimization
A tour of machine learning: An AI perspective
AI Communications - ECAI 2012 Turing and Anniversary Track
Fast inference in generalized linear models via expected log-likelihoods
Journal of Computational Neuroscience
Multiple instance learning via Gaussian processes
Data Mining and Knowledge Discovery
An overview of bayesian methods for neural spike train analysis
Computational Intelligence and Neuroscience - Special issue on Modeling and Analysis of Neural Spike Trains
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