Understanding belief propagation and its generalizations
Exploring artificial intelligence in the new millennium
Linear response algorithms for approximate inference in graphical models
Neural Computation
Predictive automatic relevance determination by expectation propagation
ICML '04 Proceedings of the twenty-first international conference on Machine learning
On the choice of regions for generalized belief propagation
UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
On the uniqueness of loopy belief propagation fixed points
Neural Computation
A Comparison of Algorithms for Inference and Learning in Probabilistic Graphical Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Preference elicitation for interface optimization
Proceedings of the 18th annual ACM symposium on User interface software and technology
Multimodal affect recognition in learning environments
Proceedings of the 13th annual ACM international conference on Multimedia
Change Point Problems in Linear Dynamical Systems
The Journal of Machine Learning Research
Expectation Consistent Approximate Inference
The Journal of Machine Learning Research
Building Blocks for Variational Bayesian Learning of Latent Variable Models
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
Loop Corrections for Approximate Inference on Factor Graphs
The Journal of Machine Learning Research
Automatic prediction of frustration
International Journal of Human-Computer Studies
On one method of non-diagonal regularization in sparse Bayesian learning
Proceedings of the 24th international conference on Machine learning
Learning and approximate inference in dynamic hierarchical models
Computational Statistics & Data Analysis
Reducing drift in differential tracking
Computer Vision and Image Understanding
Bayes Machines for binary classification
Pattern Recognition Letters
Compressed sensing and Bayesian experimental design
Proceedings of the 25th international conference on Machine learning
Algorithms for Sparse Linear Classifiers in the Massive Data Setting
The Journal of Machine Learning Research
Bayesian Inference and Optimal Design for the Sparse Linear Model
The Journal of Machine Learning Research
Cost-sensitive learning with conditional Markov networks
Data Mining and Knowledge Discovery
Bayesian Inference for Sparse Generalized Linear Models
ECML '07 Proceedings of the 18th European conference on Machine Learning
Neural Decoding of Movements: From Linear to Nonlinear Trajectory Models
Neural Information Processing
Graphical Models, Exponential Families, and Variational Inference
Foundations and Trends® in Machine Learning
Sequential optimal design of neurophysiology experiments
Neural Computation
Click chain model in web search
Proceedings of the 18th international conference on World wide web
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Robot trajectory optimization using approximate inference
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
BBM: bayesian browsing model from petabyte-scale data
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
Preference learning with extreme examples
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Unsupervised context detection using wireless signals
Pervasive and Mobile Computing
Piecewise training for structured prediction
Machine Learning
Designing Model Based Classifiers by Emphasizing Soft Targets
Fundamenta Informaticae - Advances in Artificial Intelligence and Applications
Multi-scale switching linear dynamical systems
ICANN/ICONIP'03 Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing
Joint nonlinear channel equalization and soft LDPC decoding with Gaussian processes
IEEE Transactions on Signal Processing
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
A distributed message passing algorithm for sensor localization
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
A new framework for machine learning
WCCI'08 Proceedings of the 2008 IEEE world conference on Computational intelligence: research frontiers
Message quantization in belief propagation: structural results in the low-rate regime
Allerton'09 Proceedings of the 47th annual Allerton conference on Communication, control, and computing
Virtual vector machine for Bayesian online classification
UAI '09 Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence
Novel tools to streamline the conference review process: experiences from SIGKDD'09
ACM SIGKDD Explorations Newsletter
Expectation Propagation for microarray data classification
Pattern Recognition Letters
Bayesian Browsing Model: Exact Inference of Document Relevance from Petabyte-Scale Data
ACM Transactions on Knowledge Discovery from Data (TKDD)
Finding cognate groups using phylogenies
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Importance Sampling for Continuous Time Bayesian Networks
The Journal of Machine Learning Research
An expert system for detecting automobile insurance fraud using social network analysis
Expert Systems with Applications: An International Journal
EP for Efficient Stochastic Control with Obstacles
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
Variational segmentation algorithms with label frequency constraints
Pattern Recognition and Image Analysis
Journal of Computational Neuroscience
Join-graph propagation algorithms
Journal of Artificial Intelligence Research
Concept classification with Bayesian multi-task learning
CN '10 Proceedings of the NAACL HLT 2010 First Workshop on Computational Neurolinguistics
Modeling Social Annotation: A Bayesian Approach
ACM Transactions on Knowledge Discovery from Data (TKDD)
Sparse bayesian learning for identifying imaging biomarkers in AD prediction
MICCAI'10 Proceedings of the 13th international conference on Medical image computing and computer-assisted intervention: Part III
Expectation Truncation and the Benefits of Preselection In Training Generative Models
The Journal of Machine Learning Research
Gaussian Processes for Machine Learning (GPML) Toolbox
The Journal of Machine Learning Research
Bayesian Generalized Kernel Mixed Models
The Journal of Machine Learning Research
The Journal of Machine Learning Research
Characterizing search intent diversity into click models
Proceedings of the 20th international conference on World wide web
MCV'10 Proceedings of the 2010 international MICCAI conference on Medical computer vision: recognition techniques and applications in medical imaging
Measure transformer semantics for Bayesian machine learning
ESOP'11/ETAPS'11 Proceedings of the 20th European conference on Programming languages and systems: part of the joint European conferences on theory and practice of software
Focused multi-task learning using gaussian processes
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part II
Expectation propagation for approximate inference in dynamic bayesian networks
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
A generalized mean field algorithm for variational inference in exponential families
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
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