A training algorithm for optimal margin classifiers
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
Neural Computation
Bayesian regularization and pruning using a Laplace prior
Neural Computation
Bayesian Classification With Gaussian Processes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Advances in kernel methods: support vector learning
Advances in kernel methods: support vector learning
Prediction with Gaussian processes: from linear regression to linear prediction and beyond
Learning in graphical models
Comparison of approximate methods for handling hyperparameters
Neural Computation
Machine Learning
Bayesian Learning for Neural Networks
Bayesian Learning for Neural Networks
Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
Pattern Recognition and Neural Networks
Pattern Recognition and Neural Networks
Variational Relevance Vector Machines
UAI '00 Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence
Evaluation of gaussian processes and other methods for non-linear regression
Evaluation of gaussian processes and other methods for non-linear regression
Input space versus feature space in kernel-based methods
IEEE Transactions on Neural Networks
The evidence framework applied to support vector machines
IEEE Transactions on Neural Networks
Learning to Parse Pictures of People
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
Using Hard Classifiers to Estimate Conditional Class Probabilities
ECML '02 Proceedings of the 13th European Conference on Machine Learning
MDL Based Model Selection for Relevance Vector Regression
ICANN '02 Proceedings of the International Conference on Artificial Neural Networks
Application of Bayesian trained RBF networks to nonlinear time-series modeling
Signal Processing - From signal processing theory to implementation
Advanced lectures on machine learning
The Journal of Machine Learning Research
Pac-bayesian generalisation error bounds for gaussian process classification
The Journal of Machine Learning Research
Some greedy learning algorithms for sparse regression and classification with mercer kernels
The Journal of Machine Learning Research
Use of the zero norm with linear models and kernel methods
The Journal of Machine Learning Research
Benchmarking Least Squares Support Vector Machine Classifiers
Machine Learning
Learning to track 3D human motion from silhouettes
ICML '04 Proceedings of the twenty-first international conference on Machine learning
The Bayesian backfitting relevance vector machine
ICML '04 Proceedings of the twenty-first international conference on Machine learning
A Bayesian Approach to Joint Feature Selection and Classifier Design
IEEE Transactions on Pattern Analysis and Machine Intelligence
Distilling information with super-resolution for video surveillance
Proceedings of the ACM 2nd international workshop on Video surveillance & sensor networks
A Statistical Approach to Texture Classification from Single Images
International Journal of Computer Vision - Special Issue on Texture Analysis and Synthesis
A generative Bayesian model for aggregating experts' probabilities
UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
On the Generalization Ability of GRLVQ Networks
Neural Processing Letters
Sparse Multinomial Logistic Regression: Fast Algorithms and Generalization Bounds
IEEE Transactions on Pattern Analysis and Machine Intelligence
Sparse Bayesian Learning for Efficient Visual Tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence
Hierarchic Bayesian models for kernel learning
ICML '05 Proceedings of the 22nd international conference on Machine learning
Healing the relevance vector machine through augmentation
ICML '05 Proceedings of the 22nd international conference on Machine learning
Building Sparse Large Margin Classifiers
ICML '05 Proceedings of the 22nd international conference on Machine learning
Recovering 3D Human Pose from Monocular Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Classification of Faces in Man and Machine
Neural Computation
2005 Special Issue: Constructing Bayesian formulations of sparse kernel learning methods
Neural Networks - 2005 Special issue: IJCNN 2005
Sparse audio representations using the MCLT
Signal Processing - Sparse approximations in signal and image processing
Transformation model estimation of image registration via least square support vector machines
Pattern Recognition Letters
Training a reciprocal-sigmoid classifier by feature scaling-space
Machine Learning
Computational studies of human motion: part 1, tracking and motion synthesis
Foundations and Trends® in Computer Graphics and Vision
Turn-Intent Analysis Using Body Pose for Intelligent Driver Assistance
IEEE Pervasive Computing
ACM Computing Surveys (CSUR)
A Unifying View of Sparse Approximate Gaussian Process Regression
The Journal of Machine Learning Research
Learning Sparse Overcomplete Codes for Images
Journal of VLSI Signal Processing Systems
Learning Sparse Overcomplete Codes for Images
Journal of VLSI Signal Processing Systems
Fast generalized cross-validation algorithm for sparse model learning
Neural Computation
On Bayesian classification with Laplace priors
Pattern Recognition Letters
International Journal of Systems Science
A Direct Method for Building Sparse Kernel Learning Algorithms
The Journal of Machine Learning Research
Nonparametric Quantile Estimation
The Journal of Machine Learning Research
Building Support Vector Machines with Reduced Classifier Complexity
The Journal of Machine Learning Research
Gini Support Vector Machine: Quadratic Entropy Based Robust Multi-Class Probability Regression
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
Bayesian compressive sensing and projection optimization
Proceedings of the 24th international conference on Machine learning
On one method of non-diagonal regularization in sparse Bayesian learning
Proceedings of the 24th international conference on Machine learning
Discriminant analysis in correlation similarity measure space
Proceedings of the 24th international conference on Machine learning
Sparse eigen methods by D.C. programming
Proceedings of the 24th international conference on Machine learning
Beamforming using the relevance vector machine
Proceedings of the 24th international conference on Machine learning
Refining image annotation using contextual relations between words
Proceedings of the 6th ACM international conference on Image and video retrieval
Application of the evidence procedure to the estimation of wireless channels
EURASIP Journal on Applied Signal Processing
Nonlinear multiantenna detection methods
EURASIP Journal on Applied Signal Processing
Engineering Applications of Artificial Intelligence
BM3E: Discriminative Density Propagation for Visual Tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence
Classifying EEG for brain computer interfaces using Gaussian processes
Pattern Recognition Letters
Learning to Recognize Objects with Little Supervision
International Journal of Computer Vision
Sequential Bayesian kernel modelling with non-Gaussian noise
Neural Networks
Classification of proteomic data with multiclass Logistic Partial Least Squares algorithm
International Journal of Bioinformatics Research and Applications
Fuzzy relevance vector machine for learning from unbalanced data and noise
Pattern Recognition Letters
Pose estimation and tracking using multivariate regression
Pattern Recognition Letters
Sparse Bayesian nonparametric regression
Proceedings of the 25th international conference on Machine learning
Multi-task compressive sensing with Dirichlet process priors
Proceedings of the 25th international conference on Machine learning
Bayesian multiple instance learning: automatic feature selection and inductive transfer
Proceedings of the 25th international conference on Machine learning
Compressed sensing and Bayesian experimental design
Proceedings of the 25th international conference on Machine learning
Bayesian Inference and Optimal Design for the Sparse Linear Model
The Journal of Machine Learning Research
Efficient multiple faces tracking based on Relevance Vector Machine and Boosting learning
Journal of Visual Communication and Image Representation
A Bayesian regression approach to the prediction of MHC-II binding affinity
Computer Methods and Programs in Biomedicine
Sparse coding via thresholding and local competition in neural circuits
Neural Computation
Support, Relevance and Spectral Learning for Time Series
ICANNGA '07 Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part II
Boosting RVM Classifiers for Large Data Sets
ICANNGA '07 Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part II
Long-Term Electricity Demand Forecasting Using Relevance Vector Learning Mechanism
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks
Nonlinear Feature Selection by Relevance Feature Vector Machine
MLDM '07 Proceedings of the 5th international conference on Machine Learning and Data Mining in Pattern Recognition
Bayesian Inference for Sparse Generalized Linear Models
ECML '07 Proceedings of the 18th European conference on Machine Learning
A Sparse Regression Mixture Model for Clustering Time-Series
SETN '08 Proceedings of the 5th Hellenic conference on Artificial Intelligence: Theories, Models and Applications
Incremental Relevance Vector Machine with Kernel Learning
SETN '08 Proceedings of the 5th Hellenic conference on Artificial Intelligence: Theories, Models and Applications
Supervised Isomap with Dissimilarity Measures in Embedding Learning
CIARP '08 Proceedings of the 13th Iberoamerican congress on Pattern Recognition: Progress in Pattern Recognition, Image Analysis and Applications
ECML PKDD '08 Proceedings of the 2008 European Conference on Machine Learning and Knowledge Discovery in Databases - Part I
Text Classification on Embedded Manifolds
IBERAMIA '08 Proceedings of the 11th Ibero-American conference on AI: Advances in Artificial Intelligence
International Journal of Systems Science
RVM-based multi-class classification of remotely sensed data
International Journal of Remote Sensing
Monocular 3D tracking of articulated human motion in silhouette and pose manifolds
Journal on Image and Video Processing - Anthropocentric Video Analysis: Tools and Applications
Pattern recognition with a Bayesian kernel combination machine
Pattern Recognition Letters
Affective ranking of movie scenes using physiological signals and content analysis
MS '08 Proceedings of the 2nd ACM workshop on Multimedia semantics
Adaptive spherical Gaussian kernel in sparse Bayesian learning framework for nonlinear regression
Expert Systems with Applications: An International Journal
Identification of the Inverse Dynamics Model: A Multiple Relevance Vector Machines Approach
IDEAL '08 Proceedings of the 9th International Conference on Intelligent Data Engineering and Automated Learning
L1 LASSO Modeling and Its Bayesian Inference
AI '08 Proceedings of the 21st Australasian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
Audiovisual-to-articulatory inversion
Speech Communication
Prototype classification: Insights from machine learning
Neural Computation
International Journal of Knowledge Engineering and Soft Data Paradigms
Fault diagnosis of low speed bearing based on relevance vector machine and support vector machine
Expert Systems with Applications: An International Journal
Arbitrary norm support vector machines
Neural Computation
Local Dimensionality Reduction for Non-Parametric Regression
Neural Processing Letters
A Regularized Framework for Feature Selection in Face Detection and Authentication
International Journal of Computer Vision
Automatic EEG signal classification for epilepsy diagnosis with Relevance Vector Machines
Expert Systems with Applications: An International Journal
Sparse Kernel Learning and the Relevance Units Machine
PAKDD '09 Proceedings of the 13th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
Review of user parameter-free robust adaptive beamforming algorithms
Digital Signal Processing
Review: A review of machine learning approaches to Spam filtering
Expert Systems with Applications: An International Journal
Artificial Intelligence in Medicine
International Journal of Computer Mathematics
Sparse multinomial kernel discriminant analysis (sMKDA)
Pattern Recognition
A majorization-minimization algorithm for (multiple) hyperparameter learning
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Nonparametric factor analysis with beta process priors
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
On primal and dual sparsity of Markov networks
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Short-term emotion assessment in a recall paradigm
International Journal of Human-Computer Studies
Primal sparse Max-margin Markov networks
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Logistic online learning methods and their application to incremental dependency parsing
ACL '07 Proceedings of the 45th Annual Meeting of the ACL: Student Research Workshop
Comparisons of Machine Learning Methods for Electricity Regional Reference Price Forecasting
ISNN '09 Proceedings of the 6th International Symposium on Neural Networks on Advances in Neural Networks
Combining feature spaces for classification
Pattern Recognition
Learning by local kernel polarization
Neurocomputing
Action recognition feedback-based framework for human pose reconstruction from monocular images
Pattern Recognition Letters
Journal of Computational Physics
Sparsity preserving projections with applications to face recognition
Pattern Recognition
Validation-based sparse gaussian process classifier design
Neural Computation
International Journal of Computer Applications in Technology
Generative prior knowledge for discriminative classification
Journal of Artificial Intelligence Research
Preference Learning to Rank with Sparse Bayesian
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
A local nonlinear model for the approximation and identification of a class of systems
IEEE Transactions on Circuits and Systems II: Express Briefs
IEEE Transactions on Signal Processing
Learning a scene background model via classification
IEEE Transactions on Signal Processing
Exploiting structure in wavelet-based Bayesian compressive sensing
IEEE Transactions on Signal Processing
Recursive Bayesian linear regression for adaptive classification
IEEE Transactions on Signal Processing
On the roles of eye gaze and head dynamics in predicting driver's intent to change lanes
IEEE Transactions on Intelligent Transportation Systems
Construction of tunable radial basis function networks using orthogonal forward selection
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Variational Bayesian sparse kernel-based blind image deconvolution with student's-t priors
IEEE Transactions on Image Processing
Constructing sparse kernel machines using attractors
IEEE Transactions on Neural Networks
Probabilistic classification vector machines
IEEE Transactions on Neural Networks
Sparse Bayesian modeling with adaptive kernel learning
IEEE Transactions on Neural Networks
Proceedings of the 2009 International Conference on Computer-Aided Design
Local Feature Selection for the Relevance Vector Machine Using Adaptive Kernel Learning
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part I
Expert Systems with Applications: An International Journal
Prostate cancer localization with multispectral MRI based on relevance vector machines
ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
Sparsity-embracing multiuser detection for CDMA systems with low activity factor
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 1
Real-time face tracking and pose estimation with partitioned sampling and relevance vector machine
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Sparse kernel feature analysis using FastMap and its variants
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Sparse Bayesian classification of predicate arguments
CONLL '05 Proceedings of the Ninth Conference on Computational Natural Language Learning
A novel Bayesian logistic discriminant model: An application to face recognition
Pattern Recognition
Fuzzy multi-objective portfolio selection model with transaction costs
FUZZ-IEEE'09 Proceedings of the 18th international conference on Fuzzy Systems
Sparse Support Vector Machines with L_{p} Penalty for Biomarker Identification
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Stagewise weak gradient pursuits
IEEE Transactions on Signal Processing
Recovering sparse signals with a certain family of nonconvex penalties and DC programming
IEEE Transactions on Signal Processing
Contourlet detection and feature extraction for automatic target recognition
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Online classification of gases for environmental exploration
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
IEEE Transactions on Image Processing
RVM-based human action classification in crowd through projection and star skeletonization
Journal on Image and Video Processing - Special issue on video-based modeling, analysis, and recognition of human motion
Kernel matching pursuit for large datasets
Pattern Recognition
Maximum Entropy Discrimination Markov Networks
The Journal of Machine Learning Research
Dimensionality Estimation, Manifold Learning and Function Approximation using Tensor Voting
The Journal of Machine Learning Research
Classifier complexity reduction by support vector pruning in kernel matrix learning
IWANN'07 Proceedings of the 9th international work conference on Artificial neural networks
Transductive reliability estimation for kernel based classifiers
IDA'07 Proceedings of the 7th international conference on Intelligent data analysis
Selection of basis functions guided by the L2 soft margin
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
Extended linear models with Gaussian prior on the parameters and adaptive expansion vectors
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
Sparse kernel modelling: a unified approach
IDEAL'07 Proceedings of the 8th international conference on Intelligent data engineering and automated learning
A sparse Bayesian position weighted bio-kernel network
IDEAL'07 Proceedings of the 8th international conference on Intelligent data engineering and automated learning
Ordinal regression with sparse Bayesian
ICIC'09 Proceedings of the Intelligent computing 5th international conference on Emerging intelligent computing technology and applications
Registration of remote sensing images based on the relevance vector machine
ICNC'09 Proceedings of the 5th international conference on Natural computation
Well-log acoustic velocity prediction based on relevance vector machine
ICNC'09 Proceedings of the 5th international conference on Natural computation
Efficient learning and feature selection in high-dimensional regression
Neural Computation
International Journal of Bio-Inspired Computation
Learning manifolds for bankruptcy analysis
ICONIP'08 Proceedings of the 15th international conference on Advances in neuro-information processing - Volume Part I
Learning color image expansion filters
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Active learning and basis selection for kernel-based linear models: a Bayesian perspective
IEEE Transactions on Signal Processing
Variance-component based sparse signal reconstruction and model selection
IEEE Transactions on Signal Processing
Distributed text classification with an ensemble kernel-based learning approach
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Bayesian compressive sensing using Laplace priors
IEEE Transactions on Image Processing
An effective method of pruning support vector machine classifiers
IEEE Transactions on Neural Networks
Relevance units latent variable model and nonlinear dimensionality reduction
IEEE Transactions on Neural Networks
Non-parametric Learning to Aid Path Planning over Slopes
International Journal of Robotics Research
Maximum a posteriori video super-resolution using a new multichannel image prior
IEEE Transactions on Image Processing
Sparse Bayesian learning of filters for efficient image expansion
IEEE Transactions on Image Processing
So near and yet so far: New insight into properties of some well-known classifier paradigms
Information Sciences: an International Journal
Expectation Propagation for microarray data classification
Pattern Recognition Letters
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
Sampling rate reduction for 60 GHz UWB communication using compressive sensing
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
Computationally efficient sparse Bayesian learning via belief propagation
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
Sparse learning for support vector classification
Pattern Recognition Letters
Sparse representation of medical images via compressed sensing using Gaussian scale mixtures
ISBI'10 Proceedings of the 2010 IEEE international conference on Biomedical imaging: from nano to Macro
Joint estimation of multiple clinical variables of neurological diseases from imaging patterns
ISBI'10 Proceedings of the 2010 IEEE international conference on Biomedical imaging: from nano to Macro
Particle swarm optimization aided orthogonal forward regression for unified data modeling
IEEE Transactions on Evolutionary Computation
Efficient particle filtering via sparse kernel density estimation
IEEE Transactions on Image Processing
Mining data with random forests: A survey and results of new tests
Pattern Recognition
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
Application of relevance vector machine and survival probability to machine degradation assessment
Expert Systems with Applications: An International Journal
An incremental Bayesian approach for training multilayer perceptrons
ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part I
Hub gene selection methods for the reconstruction of transcription networks
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part I
Expectation propagation for Bayesian multi-task feature selection
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part I
Fast forward RBF network construction based on particle swarm optimization
LSMS/ICSEE'10 Proceedings of the 2010 international conference on Life system modeling and simulation and intelligent computing, and 2010 international conference on Intelligent computing for sustainable energy and environment: Part II
Example-dependent basis vector selection for kernel-based classifiers
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part III
Ordinal extreme learning machine
Neurocomputing
Multiclass relevance vector machines: sparsity and accuracy
IEEE Transactions on Neural Networks
Computationally efficient sparse Bayesian learning via belief propagation
IEEE Transactions on Signal Processing
Range-doppler imaging via forward-backward sparse bayesian learning
IEEE Transactions on Signal Processing
3D human pose from silhouettes by relevance vector regression
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
IEEE Transactions on Signal Processing
Automatic rank determination in projective nonnegative matrix factorization
LVA/ICA'10 Proceedings of the 9th international conference on Latent variable analysis and signal separation
Sparse Bayesian learning for the Laplace transform inversion in dynamic light scattering
Journal of Computational and Applied Mathematics
Bridging the Gap Between Neural Network and Kernel Methods: Applications to Drug Discovery
Proceedings of the 2011 conference on Neural Nets WIRN10: Proceedings of the 20th Italian Workshop on Neural Nets
Bayesian Generalized Kernel Mixed Models
The Journal of Machine Learning Research
Logistic Stick-Breaking Process
The Journal of Machine Learning Research
Bayesian kernel projections for classification of high dimensional data
Statistics and Computing
Relevance vector machines for enhanced BER probability in DMT-based systems
Journal of Electrical and Computer Engineering
Channel estimation in a DMT based power-line communication system using sparse Bayesian regression
ROCOM'11/MUSP'11 Proceedings of the 11th WSEAS international conference on robotics, control and manufacturing technology, and 11th WSEAS international conference on Multimedia systems & signal processing
Extended Bayesian framework for automatic tuning of kernel data-mining methods
ACS'06 Proceedings of the 6th WSEAS international conference on Applied computer science
Intelligent prognostics for battery health monitoring based on sample entropy
Expert Systems with Applications: An International Journal
A logistic regression-based smoothing method for Chinese text categorization
Expert Systems with Applications: An International Journal
Utilization relevance vector machine for slope reliability analysis
Applied Soft Computing
On the explicit use of example weights in the construction of classifiers
ICANN'05 Proceedings of the 15th international conference on Artificial neural networks: formal models and their applications - Volume Part II
Smooth Bayesian kernel machines
ICANN'05 Proceedings of the 15th international conference on Artificial neural networks: formal models and their applications - Volume Part II
RFCMAC: A novel reduced localized neuro-fuzzy system approach to knowledge extraction
Expert Systems with Applications: An International Journal
Web user profiling on proxy logs and its evaluation in personalization
APWeb'11 Proceedings of the 13th Asia-Pacific web conference on Web technologies and applications
Alzheimer disease classification on diffusion weighted imaging features
IWINAC'11 Proceedings of the 4th international conference on Interplay between natural and artificial computation: new challenges on bioinspired applications - Volume Part II
Topic analysis of web user behavior using LDA model on proxy logs
PAKDD'11 Proceedings of the 15th Pacific-Asia conference on Advances in knowledge discovery and data mining - Volume Part I
Improving the accuracy of action classification using view-dependent context information
HAIS'11 Proceedings of the 6th international conference on Hybrid artificial intelligent systems - Volume Part II
Bayesian compressive sensing for cluster structured sparse signals
Signal Processing
Pattern Recognition
Kernel machines for epilepsy diagnosis via EEG signal classification: A comparative study
Artificial Intelligence in Medicine
Motion segmentation by model-based clustering of incomplete trajectories
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part II
Image de-noising by Bayesian regression
ICIAP'11 Proceedings of the 16th international conference on Image analysis and processing: Part I
EEGLAB, SIFT, NFT, BCILAB, and ERICA: new tools for advanced EEG processing
Computational Intelligence and Neuroscience - Special issue on academic software applications for electromagnetic brain mapping using MEG and EEG
The relevance voxel machine (RVoxM): A Bayesian method for image-based prediction
MICCAI'11 Proceedings of the 14th international conference on Medical image computing and computer-assisted intervention - Volume Part III
Predicting clinical scores using semi-supervised multimodal relevance vector regression
MLMI'11 Proceedings of the Second international conference on Machine learning in medical imaging
Relevance vector machine based speech emotion recognition
ACII'11 Proceedings of the 4th international conference on Affective computing and intelligent interaction - Volume Part II
Prototype-based classification of dissimilarity data
IDA'11 Proceedings of the 10th international conference on Advances in intelligent data analysis X
Progress and challenges in intelligent vehicle area networks
Communications of the ACM
Large Scale Bayesian Inference and Experimental Design for Sparse Linear Models
SIAM Journal on Imaging Sciences
Nonlinear hydrological time series forecasting based on the relevance vector regression
ICONIP'06 Proceedings of the 13th international conference on Neural Information Processing - Volume Part II
A speedup method for SVM decision
SSPR'06/SPR'06 Proceedings of the 2006 joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
Sparse kernel fisher discriminant analysis
ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part I
Building a sparse kernel classifier on riemannian manifold
VSMM'06 Proceedings of the 12th international conference on Interactive Technologies and Sociotechnical Systems
The use of bayesian framework for kernel selection in vector machines classifiers
CIARP'05 Proceedings of the 10th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis and Applications
Computational molecular biology of genome expression and regulation
PReMI'05 Proceedings of the First international conference on Pattern Recognition and Machine Intelligence
Large scale multikernel RVM for object detection
SETN'06 Proceedings of the 4th Helenic conference on Advances in Artificial Intelligence
IWDM'06 Proceedings of the 8th international conference on Digital Mammography
Relevance vector machine based infinite decision agent ensemble learning for credit risk analysis
Expert Systems with Applications: An International Journal
ICIC'06 Proceedings of the 2006 international conference on Intelligent Computing - Volume Part I
Fast sparse multinomial regression applied to hyperspectral data
ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part II
Learning multi-category classification in bayesian framework
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part I
Super-Gaussian mixture source model for ICA
ICA'06 Proceedings of the 6th international conference on Independent Component Analysis and Blind Signal Separation
Sparse gaussian processes using backward elimination
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I
Automatic chinese text classification using n-gram model
ICCSA'10 Proceedings of the 2010 international conference on Computational Science and Its Applications - Volume Part III
Multivariate relevance vector machines for tracking
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part III
Real-time adaptive hand motion recognition using a sparse bayesian classifier
ICCV'05 Proceedings of the 2005 international conference on Computer Vision in Human-Computer Interaction
Active learning framework for post-silicon variation extraction and test cost reduction
Proceedings of the International Conference on Computer-Aided Design
Analysis of some methods for reduced rank gaussian process regression
Switching and Learning in Feedback Systems
Self-tuning control of non-linear systems using gaussian process prior models
Switching and Learning in Feedback Systems
Training support vector machines using greedy stagewise algorithm
PAKDD'05 Proceedings of the 9th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
An anomaly detection method for spacecraft using relevance vector learning
PAKDD'05 Proceedings of the 9th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
Orthogonal forward selection for constructing the radial basis function network with tunable nodes
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part I
A sparse spatial linear regression model for fMRI data analysis
SETN'10 Proceedings of the 6th Hellenic conference on Artificial Intelligence: theories, models and applications
Multi-reservoir echo state network with sparse bayesian learning
ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part I
Relaxation of hard classification targets for LSE minimization
EMMCVPR'05 Proceedings of the 5th international conference on Energy Minimization Methods in Computer Vision and Pattern Recognition
Sparse representations and sphere decoding for array signal processing
Digital Signal Processing
Adaptive sparse vector tracking via online bayesian learning
IWICPAS'06 Proceedings of the 2006 Advances in Machine Vision, Image Processing, and Pattern Analysis international conference on Intelligent Computing in Pattern Analysis/Synthesis
Estimating human pose from occluded images
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part I
The use of stability principle for kernel determination in relevance vector machines
ICONIP'06 Proceedings of the 13 international conference on Neural Information Processing - Volume Part I
Identification of nonlinear oscillator models for speech analysis and synthesis
Nonlinear Speech Modeling and Applications
Algorithms and Applications
Bayesian nonlinear regression for large p small n problems
Journal of Multivariate Analysis
Feature selection with RVM and its application to prediction modeling
AI'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence
Comparing support vector machines and feed-forward neural networks with similar parameters
IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
Automated learning of RVM for large scale text sets: divide to conquer
IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
The echo state conditional random field model for sequential data modeling
Expert Systems with Applications: An International Journal
Foundations and Trends® in Computer Graphics and Vision
Eliminating spammers and ranking annotators for crowdsourced labeling tasks
The Journal of Machine Learning Research
Large-scale Gaussian process classification using random decision forests
Pattern Recognition and Image Analysis
3D hand tracking for human computer interaction
Image and Vision Computing
Output-associative RVM regression for dimensional and continuous emotion prediction
Image and Vision Computing
Registering sets of points using Bayesian regression
Neurocomputing
Sparse multikernel support vector regression machines trained by active learning
Expert Systems with Applications: An International Journal
Fatigue crack growth estimation by relevance vector machine
Expert Systems with Applications: An International Journal
Recurrent sparse support vector regression machines trained by active learning in the time-domain
Expert Systems with Applications: An International Journal
Distributed multisensory signals acquisition and analysis in dyadic interactions
CHI '12 Extended Abstracts on Human Factors in Computing Systems
Probabilistic prediction of protein phosphorylation sites using kernel machines
Proceedings of the 27th Annual ACM Symposium on Applied Computing
Editors Choice Article: I2VM: Incremental import vector machines
Image and Vision Computing
White box classification of dissimilarity data
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part I
A reservoir-driven non-stationary hidden Markov model
Pattern Recognition
Probit classifiers with a generalized Gaussian scale mixture prior
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
Dynamic control model of BOF steelmaking process based on ANFIS and robust relevance vector machine
Expert Systems with Applications: An International Journal
Convex feasibility modeling and projection methods for sparse signal recovery
Journal of Computational and Applied Mathematics
Journal of Control Science and Engineering - Special issue on Advanced Control in Micro-/Nanosystems
ComSoc: adaptive transfer of user behaviors over composite social network
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Dictionary Learning for Noisy and Incomplete Hyperspectral Images
SIAM Journal on Imaging Sciences
Value function approximation through sparse bayesian modeling
EWRL'11 Proceedings of the 9th European conference on Recent Advances in Reinforcement Learning
Learning 3d AAM fitting with kernel methods
ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part I
A Bayesian approach to sparse dynamic network identification
Automatica (Journal of IFAC)
Confidence-weighted linear classification for text categorization
The Journal of Machine Learning Research
EP-GIG priors and applications in bayesian sparse learning
The Journal of Machine Learning Research
Environmental monitoring via compressive sensing
Proceedings of the Sixth International Workshop on Knowledge Discovery from Sensor Data
Probabilistic classifiers with a generalized Gaussian scale mixture prior
Pattern Recognition
A novel framework for motion segmentation and tracking by clustering incomplete trajectories
Computer Vision and Image Understanding
Credit risk assessment and decision making by a fusion approach
Knowledge-Based Systems
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
Journal of Computational Neuroscience
Exploiting machine-transcribed dialog corpus to improve multiple dialog states tracking methods
SIGDIAL '12 Proceedings of the 13th Annual Meeting of the Special Interest Group on Discourse and Dialogue
Introducing the Discriminative Paraconsistent Machine (DPM)
Information Sciences: an International Journal
Relaxed constraints support vector machine
Expert Systems: The Journal of Knowledge Engineering
Compressive sensing based sub-mm accuracy UWB positioning systems: A space-time approach
Digital Signal Processing
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
Dynamic probabilistic CCA for analysis of affective behaviour
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This paper introduces a general Bayesian framework for obtaining sparse solutions to regression and classification tasks utilising models linear in the parameters. Although this framework is fully general, we illustrate our approach with a particular specialisation that we denote the 'relevance vector machine' (RVM), a model of identical functional form to the popular and state-of-the-art 'support vector machine' (SVM). We demonstrate that by exploiting a probabilistic Bayesian learning framework, we can derive accurate prediction models which typically utilise dramatically fewer basis functions than a comparable SVM while offering a number of additional advantages. These include the benefits of probabilistic predictions, automatic estimation of 'nuisance' parameters, and the facility to utilise arbitrary basis functions (e.g. non-'Mercer' kernels). We detail the Bayesian framework and associated learning algorithm for the RVM, and give some illustrative examples of its application along with some comparative benchmarks. We offer some explanation for the exceptional degree of sparsity obtained, and discuss and demonstrate some of the advantageous features, and potential extensions, of Bayesian relevance learning.