International Journal of Computer Vision
Maximum likelihood network topology identification from edge-based unicast measurements
SIGMETRICS '02 Proceedings of the 2002 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Riemann sums for MCMC estimation and convergence monitoring
Statistics and Computing
Marginal maximum a posteriori estimation using Markov chain Monte Carlo
Statistics and Computing
Computational Statistics & Data Analysis
Towards Improved Observation Models for Visual Tracking: Selective Adaptation
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Optimization of Paintbrush Rendering of Images by Dynamic MCMC Methods
EMMCVPR '01 Proceedings of the Third International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition
Mode Estimation of Probabilistic Hybrid Systems
HSCC '02 Proceedings of the 5th International Workshop on Hybrid Systems: Computation and Control
Fast Pricing of European Asian Options with Provable Accuracy: Single-Stock and Basket Options
ESA '01 Proceedings of the 9th Annual European Symposium on Algorithms
Unequal sampling for Monte Carlo EM algorithms
Computational Statistics & Data Analysis
AI and Simulation-Based Techniques for the Assessment of Supply Chain Logistic Performance
ANSS '03 Proceedings of the 36th annual symposium on Simulation
Pricing the risk-transfer financial instruments via Monte Carlo methods
Systems Analysis Modelling Simulation
A Gibbs Point Process for Road Extraction from Remotely Sensed Images
International Journal of Computer Vision
Biologically inspired rule-based multiset programming paradigm for soft-computing
Proceedings of the 1st conference on Computing frontiers
Optimal Linear Representations of Images for Object Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
A note on the applied use of MDL approximations
Neural Computation
UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
Statistical Shape Analysis: Clustering, Learning, and Testing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Search Strategies For Failure Cascade Paths In Power System Graphs
Probability in the Engineering and Informational Sciences
Robust Full Bayesian Learning for Radial Basis Networks
Neural Computation
Sample-Based Quality Estimation of Query Results in Relational Database Environments
IEEE Transactions on Knowledge and Data Engineering
Sequential Monte Carlo for Bayesian Matching of Objects with Occlusions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Practical Bayesian estimation of a finite beta mixture through gibbs sampling and its applications
Statistics and Computing
Probabilistic models for discovering e-communities
Proceedings of the 15th international conference on World Wide Web
Locally adaptive classification piloted by uncertainty
ICML '06 Proceedings of the 23rd international conference on Machine learning
Unsupervised signal restoration using hidden Markov chains with copulas
Signal Processing
Coarse-gradient Langevin algorithms for dynamic data integration and uncertainty quantification
Journal of Computational Physics - Special issue: Uncertainty quantification in simulation science
Automatic video annotation by semi-supervised learning with kernel density estimation
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Using duration models to reduce fragmentation in audio segmentation
Machine Learning
ODE methods for Markov chain stability with applications to MCMC
valuetools '06 Proceedings of the 1st international conference on Performance evaluation methodolgies and tools
Optimizing random scan Gibbs samplers
Journal of Multivariate Analysis
Reinforcement Learning with Approximation Spaces
Fundamenta Informaticae
Confidence bands for Brownian motion and applications to Monte Carlo simulation
Statistics and Computing
Multiscale finite element methods for porous media flows and their applications
Applied Numerical Mathematics
Estimating the "Wrong" Graphical Model: Benefits in the Computation-Limited Setting
The Journal of Machine Learning Research
Multi-Task Learning for Classification with Dirichlet Process Priors
The Journal of Machine Learning Research
AppWand: editing measured materials using appearance-driven optimization
ACM SIGGRAPH 2007 papers
Accelerating real-time shading with reverse reprojection caching
Proceedings of the 22nd ACM SIGGRAPH/EUROGRAPHICS symposium on Graphics hardware
Variable selection by perfect sampling
EURASIP Journal on Applied Signal Processing
Blind equalization of a nonlinear satellite system using MCMC simulation methods
EURASIP Journal on Applied Signal Processing
On population-based simulation for static inference
Statistics and Computing
Interacting and Annealing Particle Filters: Mathematics and a Recipe for Applications
Journal of Mathematical Imaging and Vision
EURASIP Journal on Applied Signal Processing
Particle filtering equalization method for a satellite communication channel
EURASIP Journal on Applied Signal Processing
Bearings-only tracking of manoeuvring targets using particle filters
EURASIP Journal on Applied Signal Processing
Statistical performance modeling and optimization
Foundations and Trends in Electronic Design Automation
Unsupervised clustering of over-the-counter healthcare products into product categories
Journal of Biomedical Informatics
A Bayesian method for guessing the extreme values in a data set?
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Distributed computation of drainage basin delineations from uncertain digital elevation models
Proceedings of the 15th annual ACM international symposium on Advances in geographic information systems
Learning to Recognize Objects with Little Supervision
International Journal of Computer Vision
Efficacy of modeling & simulation in defense life cycle engineering
Proceedings of the 2007 Summer Computer Simulation Conference
Hybrid simulation on qualitative and quantitative integrated model using Monte Carlo method
Proceedings of the 2007 Summer Computer Simulation Conference
Node density control for maximizing wireless sensor network lifetime
International Journal of Network Management
Temporally correlated source separation based on variational Kalman smoother
Digital Signal Processing
Exploring social annotations for information retrieval
Proceedings of the 17th international conference on World Wide Web
Yield analysis for self-repairable MEMS devices
Analog Integrated Circuits and Signal Processing
EURASIP Journal on Advances in Signal Processing
Confidence bounds for sampling-based group by estimates
ACM Transactions on Database Systems (TODS)
Ameliorative missing value imputation for robust biological knowledge inference
Journal of Biomedical Informatics
The Stochastic Fleet Estimation (SaFE) model
Proceedings of the 2008 Spring simulation multiconference
Description and simulation of dynamic mobility networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Basic consideration for SIL calculation in safety systems
ACACOS'08 Proceedings of the 7th WSEAS International Conference on Applied Computer and Applied Computational Science
Dynamically Identifying and Tracking Contaminants in Water Bodies
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part I: ICCS 2007
An Ideal Observer for a Model of X-Ray Imaging in Breast Parenchymal Tissue
IWDM '08 Proceedings of the 9th international workshop on Digital Mammography
Integrating remote sensing datasets into ecological modelling: a Bayesian approach
International Journal of Remote Sensing - 3D Remote Sensing in Forestry
A POPULATION MONTE CARLO METHOD FOR GENERATING RANDOM MATRICES WITH KNOWN CHARACTERISTICS
Applied Artificial Intelligence
The smoothed Monte Carlo method in robustness optimization
Optimization Methods & Software - THE JOINT EUROPT-OMS CONFERENCE ON OPTIMIZATION, 4-7 JULY, 2007, PRAGUE, CZECH REPUBLIC, PART I
Parallell interacting MCMC for learning of topologies of graphical models
Data Mining and Knowledge Discovery
Differential Evolution Markov Chain with snooker updater and fewer chains
Statistics and Computing
Statistics and Computing
Adaptive importance sampling in general mixture classes
Statistics and Computing
Graphical Models, Exponential Families, and Variational Inference
Foundations and Trends® in Machine Learning
Finite mixture of α-stable distributions
Digital Signal Processing
Dimensionality reduction and polynomial chaos acceleration of Bayesian inference in inverse problems
Journal of Computational Physics
A methodology to identify characteristics of the dynamic of mobile networks
Proceedings of the 4th Asian Conference on Internet Engineering
A New Bounding Technique for Handling Arbitrary Correlations in Path-Based SSTA
Integrated Circuit and System Design. Power and Timing Modeling, Optimization and Simulation
A computation method in robust Bayesian decision theory
International Journal of Approximate Reasoning
Bayesian mixture models of variable dimension for image segmentation
Computer Methods and Programs in Biomedicine
On universal transfer learning
Theoretical Computer Science
Guessing the extreme values in a data set: a Bayesian method and its applications
The VLDB Journal — The International Journal on Very Large Data Bases
DECODE: a new method for discovering clusters of different densities in spatial data
Data Mining and Knowledge Discovery
Control variates as screening functions
Proceedings of the 3rd International Conference on Performance Evaluation Methodologies and Tools
Simultaneous credible intervals for small area estimation problems
Journal of Multivariate Analysis
Statistical Alignment with a Sequence Evolution Model Allowing Rate Heterogeneity along the Sequence
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
How to improve postgenomic knowledge discovery using imputation
EURASIP Journal on Bioinformatics and Systems Biology - Special issue on applications of signal procesing techniques to bioinformatics, genomics, and proteomics
Attacks on privacy and deFinetti's theorem
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
Approximation Methods for Efficient Learning of Bayesian Networks
Proceedings of the 2008 conference on Approximation Methods for Efficient Learning of Bayesian Networks
Bayesian learning of Bayesian networks with informative priors
Annals of Mathematics and Artificial Intelligence
Journal of Computational Physics
Learning Representation and Control in Markov Decision Processes: New Frontiers
Foundations and Trends® in Machine Learning
A mixture model-based approach to the clustering of exponential repeated data
Journal of Multivariate Analysis
Decomposition and Classification of Spectral Lines in Astronomical Radio Data Cubes
SCIA '09 Proceedings of the 16th Scandinavian Conference on Image Analysis
Evolution of Probability Distribution in Time for Solutions of Hyperbolic Equations
Journal of Scientific Computing
A comparison of Bayesian estimators for unsupervised Hidden Markov Model POS taggers
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
A Generic Approach to Topic Models
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part I
ACM SIGGRAPH Asia 2009 papers
Parallel and interacting Markov chain Monte Carlo algorithm
Mathematics and Computers in Simulation
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
NAACL '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics
On similarities between inference in game theory and machine learning
Journal of Artificial Intelligence Research
Unsupervised word segmentation for Sesotho using Adaptor Grammars
SigMorPhon '08 Proceedings of the Tenth Meeting of ACL Special Interest Group on Computational Morphology and Phonology
Privacy-Preserving Data Publishing
Foundations and Trends in Databases
Reinforcement learning in distributed domains: beyond team games
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Bayesian unsupervised learning of DNA regulatory binding regions
Advances in Artificial Intelligence
Computational Statistics & Data Analysis
Regression trees for analysis of count data with extra Poisson variation
Computational Statistics & Data Analysis
Detection of multiple changes in fractional integrated ARMA processes
IEEE Transactions on Signal Processing
Exploiting structure in wavelet-based Bayesian compressive sensing
IEEE Transactions on Signal Processing
Incremental distributed identification of Markov random field models in wireless sensor networks
IEEE Transactions on Signal Processing
Variance reduction for particle filters of systems with time scale separation
IEEE Transactions on Signal Processing
Implementation of a Markov chain Monte Carlo based multiuser/MIMO detector
IEEE Transactions on Circuits and Systems Part I: Regular Papers
Hierarchical Bayesian sparse image reconstruction with application to MRFM
IEEE Transactions on Image Processing
Bayesian image recovery for dendritic structures under low signal-to-noise conditions
IEEE Transactions on Image Processing
Improved auxiliary mixture sampling for hierarchical models of non-Gaussian data
Statistics and Computing
The nested chinese restaurant process and bayesian nonparametric inference of topic hierarchies
Journal of the ACM (JACM)
Information driven search for point sources of gamma radiation
Signal Processing
Computer Methods and Programs in Biomedicine
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Web-based topic language modeling for audio indexing
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Distributed sampling of random fields with unknown covariance
ACC'09 Proceedings of the 2009 conference on American Control Conference
Risk management of dangerous freight using Monte Carlo simulation: project and operation sides
MIC '07 Proceedings of the 26th IASTED International Conference on Modelling, Identification, and Control
Learning hybrid Bayesian networks using mixtures of truncated exponentials
International Journal of Approximate Reasoning
Non-linear regression models for Approximate Bayesian Computation
Statistics and Computing
Radiological source detection and localisation using Bayesian techniques
IEEE Transactions on Signal Processing
Joint Bayesian endmember extraction and linear unmixing for hyperspectral imagery
IEEE Transactions on Signal Processing
Statistical Methods and Models for Video-Based Tracking, Modeling, and Recognition
Foundations and Trends in Signal Processing
Minimizing risk on a fleet mix problem with a multiobjective evolutionary algorithm
CISDA'09 Proceedings of the Second IEEE international conference on Computational intelligence for security and defense applications
Robust approaches to remote calibration of a transmitting array
Signal Processing
Tools for application-driven linear dimension reduction
Neurocomputing
Identification of Bayesian posteriors for coefficients of chaos expansions
Journal of Computational Physics
Interval rotor-bearing systems stability via Monte Carlo simulation
International Journal of Modelling and Simulation
Learning optimal representations for image retrieval applications
CIVR'03 Proceedings of the 2nd international conference on Image and video retrieval
Proceedings of the 29th DAGM conference on Pattern recognition
Generative spectrogram factorization models for polyphonic piano transcription
IEEE Transactions on Audio, Speech, and Language Processing
Complex nonconvex lp norm minimization for underdetermined source separation
ICA'07 Proceedings of the 7th international conference on Independent component analysis and signal separation
Transcriptional gene regulatory network reconstruction through cross platform gene network fusion
PRIB'07 Proceedings of the 2nd IAPR international conference on Pattern recognition in bioinformatics
Specialising simulator generators for high-performance Monte-Carlo methods
PADL'08 Proceedings of the 10th international conference on Practical aspects of declarative languages
Towards efficient prediction of decisions under interval uncertainty
PPAM'07 Proceedings of the 7th international conference on Parallel processing and applied mathematics
Near-optimal detection in MIMO systems using Gibbs sampling
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Design of exchange Monte Carlo method for Bayesian learning in normal mixture models
ICONIP'08 Proceedings of the 15th international conference on Advances in neuro-information processing - Volume Part I
Wavelet-based parallel MRI regularization using bivariate sparsity promoting priors
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
NL-Means and aggregation procedures
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
The reference prior for complex covariance matrices with efficient implementation strategies
IEEE Transactions on Signal Processing
Bayesian orthogonal component analysis for sparse representation
IEEE Transactions on Signal Processing
A Dirichlet process mixture of generalized Dirichlet distributions for proportional data modeling
IEEE Transactions on Neural Networks
Optimal linear projections for enhancing desired data statistics
Statistics and Computing
IEEE Transactions on Image Processing
Mixture models for learning low-dimensional roles in high-dimensional data
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
A statistical simulation method for reliability analysis of SRAM core-cells
Proceedings of the 47th Design Automation Conference
INES'10 Proceedings of the 14th international conference on Intelligent engineering systems
Variational inference for adaptor grammars
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
A new look at state-space models for neural data
Journal of Computational Neuroscience
A probabilistic particle-control approximation of chance-constrained stochastic predictive control
IEEE Transactions on Robotics
Semiparametric analysis of longitudinal zero-inflated count data
Journal of Multivariate Analysis
Structural and Multidisciplinary Optimization
International Journal of Computer Applications in Technology
Estimating and sampling graphs with multidimensional random walks
IMC '10 Proceedings of the 10th ACM SIGCOMM conference on Internet measurement
MC4: a tempering algorithm for large-sample network inference
PRIB'10 Proceedings of the 5th IAPR international conference on Pattern recognition in bioinformatics
Flow-based Bayesian estimation of nonlinear differential equations for modeling biological networks
PRIB'10 Proceedings of the 5th IAPR international conference on Pattern recognition in bioinformatics
Facial expression recognition in JAFFE dataset based on Gaussian process classification
IEEE Transactions on Neural Networks
A hierarchical Bayesian model for frame representation
IEEE Transactions on Signal Processing
Cooperative positioning in underwater sensor networks
IEEE Transactions on Signal Processing
Coupling from the past with randomized quasi-Monte Carlo
Mathematics and Computers in Simulation
Communications of the ACM
A variant of importance splitting for rare event estimation: Fixed number of successes
ACM Transactions on Modeling and Computer Simulation (TOMACS)
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Consensus Building in AHP-Group Decision Making: A Bayesian Approach
Operations Research
MCMC sampling for joint estimation of phase distortions and transmitted symbols in OFDM systems
Digital Signal Processing
Classifier evaluation and attribute selection against active adversaries
Data Mining and Knowledge Discovery
International Journal of High Performance Computing Applications
n-Consistent robust integration-based estimation
Journal of Multivariate Analysis
Bayesian method for NLOS mitigation in single moving sensor Geo-location
Signal Processing
Free lunches on the discrete Lipschitz class
Theoretical Computer Science
Proceedings of the 14th International Conference on Extending Database Technology
Stochastic Composite Likelihood
The Journal of Machine Learning Research
Blue-noise point sampling using kernel density model
ACM SIGGRAPH 2011 papers
Optimal linear representations of images for object recognition
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Theory and Use of the EM Algorithm
Foundations and Trends in Signal Processing
A Bayesian multilevel model for fMRI data analysis
Computer Methods and Programs in Biomedicine
Journal of Mathematical Modelling and Algorithms
Proceedings of the 2010 Summer Computer Simulation Conference
The monte carlo database system: Stochastic analysis close to the data
ACM Transactions on Database Systems (TODS)
Annealing evolutionary stochastic approximation Monte Carlo for global optimization
Statistics and Computing
Multiple domain user personalization
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Approximate bayesian computation for the parameters of PRISM programs
ILP'10 Proceedings of the 20th international conference on Inductive logic programming
Infinite generalized gaussian mixture modeling and applications
ICIAR'11 Proceedings of the 8th international conference on Image analysis and recognition - Volume Part I
Error-controlled global sensitivity analysis of ordinary differential equations
Journal of Computational Physics
The computational complexity of estimating MCMC convergence time
APPROX'11/RANDOM'11 Proceedings of the 14th international workshop and 15th international conference on Approximation, randomization, and combinatorial optimization: algorithms and techniques
Robustness-based design optimization under data uncertainty
Structural and Multidisciplinary Optimization
A generalization of the adaptive rejection sampling algorithm
Statistics and Computing
Topology-related modeling and characterization of wireless sensor networks
Proceedings of the 8th ACM Symposium on Performance evaluation of wireless ad hoc, sensor, and ubiquitous networks
Advances in Engineering Software
Algorithm and Parallel Implementation of Particle Filtering and its Use in Waveform-Agile Sensing
Journal of Signal Processing Systems
Reliability-based design optimization using kriging surrogates and subset simulation
Structural and Multidisciplinary Optimization
The socialbot network: when bots socialize for fame and money
Proceedings of the 27th Annual Computer Security Applications Conference
Multistability and perceptual inference
Neural Computation
Distance Dependent Chinese Restaurant Processes
The Journal of Machine Learning Research
A Posteriori Error Analysis of Stochastic Differential Equations Using Polynomial Chaos Expansions
SIAM Journal on Scientific Computing
Statistics and Computing
Efficient Monte Carlo simulation via the generalized splitting method
Statistics and Computing
Rate estimation in partially observed Markov jump processes with measurement errors
Statistics and Computing
Cross-validation prior choice in Bayesian probit regression with many covariates
Statistics and Computing
Upper bounds on the connection probability for 2-D meshes and tori
Journal of Parallel and Distributed Computing
Multilevel coarse graining and nano-pattern discovery in many particle stochastic systems
Journal of Computational Physics
Bayesian learning of generalized gaussian mixture models on biomedical images
ANNPR'10 Proceedings of the 4th IAPR TC3 conference on Artificial Neural Networks in Pattern Recognition
Air-traffic control in approach sectors: simulation examples and optimisation
HSCC'05 Proceedings of the 8th international conference on Hybrid Systems: computation and control
Signal processing in a nonlinear, nongaussian, and nonstationary world
Nonlinear Speech Modeling and Applications
SBP'10 Proceedings of the Third international conference on Social Computing, Behavioral Modeling, and Prediction
LION'05 Proceedings of the 5th international conference on Learning and Intelligent Optimization
Structured Learning and Prediction in Computer Vision
Foundations and Trends® in Computer Graphics and Vision
Document hierarchies from text and links
Proceedings of the 21st international conference on World Wide Web
Declarative platform for data sourcing games
Proceedings of the 21st international conference on World Wide Web
Mr. LDA: a flexible large scale topic modeling package using variational inference in MapReduce
Proceedings of the 21st international conference on World Wide Web
The Journal of Machine Learning Research
DNIS'11 Proceedings of the 7th international conference on Databases in Networked Information Systems
A hierarchical model for ordinal matrix factorization
Statistics and Computing
Modeling the dynamics of social networks using Bayesian hierarchical blockmodels
Statistical Analysis and Data Mining
Centralized and distributed task allocation in multi-robot teams via a stochastic clustering auction
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
Computer Methods and Programs in Biomedicine
Fine-grained access control of personal data
Proceedings of the 17th ACM symposium on Access Control Models and Technologies
Adapting scientific computing problems to clouds using MapReduce
Future Generation Computer Systems
Value optimization of survivable multilayer IP/MPLS-over-WSON networks
Photonic Network Communications
Computers & Mathematics with Applications
Robust adaptive Metropolis algorithm with coerced acceptance rate
Statistics and Computing
SIAM Journal on Numerical Analysis
Behavioral game theoretic models: a Bayesian framework for parameter analysis
Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
Marketing strategies: support and enhancement of core business
ICCSA'12 Proceedings of the 12th international conference on Computational Science and Its Applications - Volume Part II
Fuzzy spatial constraints and ranked partitioned sampling approach for multiple object tracking
Computer Vision and Image Understanding
Reinforcement Learning with Approximation Spaces
Fundamenta Informaticae
Bayesian inference with optimal maps
Journal of Computational Physics
Modelling sequential text with an adaptive topic model
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
Proceedings of the 20th ACM international conference on Multimedia
Simulation-based optimal Bayesian experimental design for nonlinear systems
Journal of Computational Physics
Research-based innovation: a tale of three projects in model-driven engineering
MODELS'12 Proceedings of the 15th international conference on Model Driven Engineering Languages and Systems
Volumetric real-time particle-based representation of large unstructured tetrahedral polygon meshes
MeshMed'12 Proceedings of the 2012 international conference on Mesh Processing in Medical Image Analysis
Self-Avoiding Random Dynamics on Integer Complex Systems
ACM Transactions on Modeling and Computer Simulation (TOMACS) - Special Issue on Monte Carlo Methods in Statistics
Sampling normal distribution restricted on multiple regions
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part I
Sequential Monte Carlo simulated annealing
Journal of Global Optimization
Markov chain importance sampling with applications to rare event probability estimation
Statistics and Computing
Sequential Monte Carlo on large binary sampling spaces
Statistics and Computing
Have I seen you before? Principles of Bayesian predictive classification revisited
Statistics and Computing
Proceedings of the Winter Simulation Conference
An importance sampling method based on a one-step look-ahead density from a Markov chain
Proceedings of the Winter Simulation Conference
A new populatoin-based simulated annealing algorithm
Proceedings of the Winter Simulation Conference
Information Systems and e-Business Management
Information Resources Management Journal
Design and analysis of a social botnet
Computer Networks: The International Journal of Computer and Telecommunications Networking
Parallel tempering with equi-energy moves
Statistics and Computing
Towards high-throughput gibbs sampling at scale: a study across storage managers
Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data
An intelligent multi-restart memetic algorithm for box constrained global optimisation
Evolutionary Computation
Proceedings of the 2013 9th Joint Meeting on Foundations of Software Engineering
Social influence analysis and application on multimedia sharing websites
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) - Special Sections on the 20th Anniversary of ACM International Conference on Multimedia, Best Papers of ACM Multimedia 2012
Stochastic variational inference
The Journal of Machine Learning Research
SC '13 Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis
Finding recurrent patterns from continuous sign language sentences for automated extraction of signs
The Journal of Machine Learning Research
Discovering coherent topics using general knowledge
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Computer Methods and Programs in Biomedicine
Clustering on the cloud: reducing CLARA to MapReduce
Proceedings of the Second Nordic Symposium on Cloud Computing & Internet Technologies
Non-parametric stochastic subset optimization for optimal-reliability design problems
Computers and Structures
Global optimization using the asymptotically independent Markov sampling method
Computers and Structures
Bayesian 3D shape from silhouettes
Digital Signal Processing
Robust Bayesian fitting of 3D morphable model
Proceedings of the 10th European Conference on Visual Media Production
Computers and Operations Research
Infinite Dirichlet mixture models learning via expectation propagation
Advances in Data Analysis and Classification
An Efficient Stochastic Clustering Auction for Heterogeneous Robotic Collaborative Teams
Journal of Intelligent and Robotic Systems
On the flexibility of the design of multiple try Metropolis schemes
Computational Statistics
Likelihood-based and Bayesian methods for Tweedie compound Poisson linear mixed models
Statistics and Computing
A Bayesian hierarchical model for maximizing the vascular adhesion of nanoparticles
Computational Mechanics
Fast inference in generalized linear models via expected log-likelihoods
Journal of Computational Neuroscience
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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