Pac-bayesian generalisation error bounds for gaussian process classification
The Journal of Machine Learning Research
The Bayes Point Machine for computer-user frustration detection via pressuremouse
Proceedings of the 2001 workshop on Perceptive user interfaces
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Gaussian process classification for segmenting and annotating sequences
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Active learning for Hidden Markov Models: objective functions and algorithms
ICML '05 Proceedings of the 22nd international conference on Machine learning
Hierarchic Bayesian models for kernel learning
ICML '05 Proceedings of the 22nd international conference on Machine learning
Compact approximations to Bayesian predictive distributions
ICML '05 Proceedings of the 22nd international conference on Machine learning
Bayesian pattern ranking for move prediction in the game of Go
ICML '06 Proceedings of the 23rd international conference on Machine learning
Probabilistic inference for solving discrete and continuous state Markov Decision Processes
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
Supervised probabilistic principal component analysis
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Appearance-based gender classification with Gaussian processes
Pattern Recognition Letters
Assessing Approximate Inference for Binary Gaussian Process Classification
The Journal of Machine Learning Research
Probabilistic Non-linear Principal Component Analysis with Gaussian Process Latent Variable Models
The Journal of Machine Learning Research
Expectation Consistent Approximate Inference
The Journal of Machine Learning Research
Bayesian query-focused summarization
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Estimating the "Wrong" Graphical Model: Benefits in the Computation-Limited Setting
The Journal of Machine Learning Research
Expectation Correction for Smoothed Inference in Switching Linear Dynamical Systems
The Journal of Machine Learning Research
The Journal of Machine Learning Research
Automatic prediction of frustration
International Journal of Human-Computer Studies
Clustering Based on Gaussian Processes
Neural Computation
Experience sampling for building predictive user models: a comparative study
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Bayes Machines for binary classification
Pattern Recognition Letters
Gaussian process product models for nonparametric nonstationarity
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
Large scale data analysis and modelling in online services and advertising
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Expectation Propagation for Rating Players in Sports Competitions
PKDD 2007 Proceedings of the 11th European conference on Principles and Practice of Knowledge Discovery in Databases
Sparse Bayes Machines for Binary Classification
ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part I
Complex adaptive filtering user profile using graphical models
Information Processing and Management: an International Journal
Outlier Robust Gaussian Process Classification
SSPR & SPR '08 Proceedings of the 2008 Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
Graphical Models, Exponential Families, and Variational Inference
Foundations and Trends® in Machine Learning
InfoMax Bayesian learning of the Furuta pendulum
Acta Cybernetica
Gaussian process dynamic programming
Neurocomputing
Matchbox: large scale online bayesian recommendations
Proceedings of the 18th international conference on World wide web
Personalized recommendation on dynamic content using predictive bilinear models
Proceedings of the 18th international conference on World wide web
Robot trajectory optimization using approximate inference
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Scalable clustering and keyword suggestion for online advertisements
Proceedings of the Third International Workshop on Data Mining and Audience Intelligence for Advertising
Validation-based sparse gaussian process classifier design
Neural Computation
An edge deletion semantics for belief propagation and its practical impact on approximation quality
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
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
A distributed approach to passive localization for sensor networks
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 3
Focusing generalizations of belief propagation on targeted queries
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
Selective supervision: guiding supervised learning with decision-theoretic active learning
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Multi-relational learning with Gaussian processes
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
A novel click model and its applications to online advertising
Proceedings of the third ACM international conference on Web search and data mining
Designing Model Based Classifiers by Emphasizing Soft Targets
Fundamenta Informaticae - Advances in Artificial Intelligence and Applications
Gaussian Processes for Object Categorization
International Journal of Computer Vision
Bayesian update of dialogue state: A POMDP framework for spoken dialogue systems
Computer Speech and Language
Iterative node deployment in an unknown environment
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Distributed estimation of channel gains in wireless sensor networks
IEEE Transactions on Signal Processing
Incorporating post-click behaviors into a click model
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Expectation Propagation for microarray data classification
Pattern Recognition Letters
A new look at state-space models for neural data
Journal of Computational Neuroscience
Belief propagation, Dykstra's algorithm, and iterated information projections
IEEE Transactions on Information Theory
Learning click models via probit bayesian inference
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
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
Bayesian knowledge corroboration with logical rules and user feedback
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part II
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
Artificial Intelligence
Network-based sparse Bayesian classification
Pattern Recognition
Uncertainty in clustering and classification
SUM'10 Proceedings of the 4th international conference on Scalable uncertainty management
A Bayesian Approximation Method for Online Ranking
The Journal of Machine Learning Research
Approximate Marginals in Latent Gaussian Models
The Journal of Machine Learning Research
PAMPAS: real-valued graphical models for computer vision
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Unbiased online active learning in data streams
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Sparse Spatio-temporal Gaussian processes with general likelihoods
ICANN'11 Proceedings of the 21th international conference on Artificial neural networks - Volume Part I
Learning with scope, with application to information extraction and classification
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
Expectation-propagation for the generative aspect model
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
A new class of upper bounds on the log partition function
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
Expectation propagation for approximate Bayesian inference
UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
Robust Gaussian Process Regression with a Student-t Likelihood
The Journal of Machine Learning Research
Fast variational inference for gaussian process models through KL-Correction
ECML'06 Proceedings of the 17th European conference on Machine Learning
Extensions of the informative vector machine
Proceedings of the First international conference on Deterministic and Statistical Methods in Machine Learning
Forecasting foreign exchange rates using kernel methods
Expert Systems with Applications: An International Journal
Designing Model Based Classifiers by Emphasizing Soft Targets
Fundamenta Informaticae - Advances in Artificial Intelligence and Applications
Fuzzy machine learning and data mininga
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
A generative model for online depth fusion
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part V
Efficiently learning the preferences of people
Machine Learning
Validation based sparse gaussian processes for ordinal regression
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part II
A model-learner pattern for bayesian reasoning
POPL '13 Proceedings of the 40th annual ACM SIGPLAN-SIGACT symposium on Principles of programming languages
A probabilistic least squares approach to ordinal regression
AI'12 Proceedings of the 25th Australasian joint conference on Advances in Artificial Intelligence
Speeding up large-scale learning with a social prior
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Nested expectation propagation for Gaussian process classification
The Journal of Machine Learning Research
Evaluating simulation software components with player rating systems
Proceedings of the 6th International ICST Conference on Simulation Tools and Techniques
Generalized spike-and-slab priors for Bayesian group feature selection using expectation propagation
The Journal of Machine Learning Research
Perturbative corrections for approximate inference in Gaussian latent variable models
The Journal of Machine Learning Research
Community-based bayesian aggregation models for crowdsourcing
Proceedings of the 23rd international conference on World wide web
Fast inference in generalized linear models via expected log-likelihoods
Journal of Computational Neuroscience
Predictive Distribution of the Dirichlet Mixture Model by Local Variational Inference
Journal of Signal Processing Systems
An overview of bayesian methods for neural spike train analysis
Computational Intelligence and Neuroscience - Special issue on Modeling and Analysis of Neural Spike Trains
| Hi-index | 0.06 |