Towards automated synthesis of data mining programs
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
International Journal of Computer Vision - Special issue on statistical and computational theories of vision: modeling, learning, sampling and computing, Part I
Selectivity estimation using probabilistic models
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Stochastic lambda calculus and monads of probability distributions
POPL '02 Proceedings of the 29th ACM SIGPLAN-SIGACT symposium on Principles of programming languages
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
On decision trees for (1,2)-Bayesian networks
Fundamenta Informaticae
Building Probabilistic Networks: 'Where Do the Numbers Come From?' Guest Editors' Introduction
IEEE Transactions on Knowledge and Data Engineering
Dealing with the Expert Inconsistency in Probability Elicitation
IEEE Transactions on Knowledge and Data Engineering
Will Domain-Specific Code Synthesis Become a Silver Bullet?
IEEE Intelligent Systems
Evolutionary computation and Wright's equation
Theoretical Computer Science - Natural computing
Learning from imprecise data: possibilistic graphical models
Computational Statistics & Data Analysis - Nonlinear methods and data mining
Audio-Video Sensor Fusion with Probabilistic Graphical Models
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
An Empirical Study of Encoding Schemes and Search Strategies in Discovering Causal Networks
ECML '02 Proceedings of the 13th European Conference on Machine Learning
Optimal Mutation Rate Using Bayesian Priors for Estimation of Distribution Algorithms
SAGA '01 Proceedings of the International Symposium on Stochastic Algorithms: Foundations and Applications
Generating Data Analysis Programs from Statistical Models
SAIG '00 Proceedings of the International Workshop on Semantics, Applications, and Implementation of Program Generation
Synthesizing Graphical Models Employing Explaining Away
PPSN VII Proceedings of the 7th International Conference on Parallel Problem Solving from Nature
Bayesian Networks for Incorporation of Contextual Information in Target Recognition Systems
Proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
Automatic Speech Recognition: The New Millennium
IEA/AIE '02 Proceedings of the 15th international conference on Industrial and engineering applications of artificial intelligence and expert systems: developments in applied artificial intelligence
Stochastic Analysis of Cellular Automata and the Voter Model
ACRI '01 Proceedings of the 5th International Conference on Cellular Automata for Research and Industry
Learning the Causal Structure of Overlapping Variable Sets
DS '02 Proceedings of the 5th International Conference on Discovery Science
Bayesian networks for discrete multivariate data: an algebraic approach to inference
Journal of Multivariate Analysis
Handbook of data mining and knowledge discovery
Data mining for manufacturing control: an application in optimizing IC tests
Exploring artificial intelligence in the new millennium
Bayesian Networks in Ovarian Cancer Diagnosis: Potentials and Limitations
CBMS '00 Proceedings of the 13th IEEE Symposium on Computer-Based Medical Systems (CBMS'00)
Stereo Matching Using Belief Propagation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Guest Editors' Introduction to the Special Section on Graphical Models in Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Learning equivalence classes of bayesian-network structures
The Journal of Machine Learning Research
The Journal of Machine Learning Research
A Generative Probabilistic Oriented Wavelet Model for Texture Segmentation
Neural Processing Letters
Operations and evaluation measures for learning possibilistic graphical models
Artificial Intelligence - Special issue: Fuzzy set and possibility theory-based methods in artificial intelligence
Machine Learning for Computer Graphics: A Manifesto and Tutorial
PG '03 Proceedings of the 11th Pacific Conference on Computer Graphics and Applications
ACM SIGKDD Explorations Newsletter
A generative model for separating illumination and reflectance from images
The Journal of Machine Learning Research
AutoBayes: a system for generating data analysis programs from statistical models
Journal of Functional Programming
Tree consistency and bounds on the performance of the max-product algorithm and its generalizations
Statistics and Computing
Computational models for experiences in the arts, and multimedia
ETP '03 Proceedings of the 2003 ACM SIGMM workshop on Experiential telepresence
Hierarchical models of variance sources
Signal Processing - Special issue on independent components analysis and beyond
Stochastic reasoning, free energy, and information geometry
Neural Computation
Spontaneous organisation, pattern models, and music
Organised Sound
A generative model for separating illumination and reflectance from images
The Journal of Machine Learning Research
Common Visual Cues for Sports Highlights Modeling
Multimedia Tools and Applications
Approximate factorizations of distributions and the minimum relative entropy principle
GECCO '05 Proceedings of the 7th annual workshop on Genetic and evolutionary computation
Bayesian sparse sampling for on-line reward optimization
ICML '05 Proceedings of the 22nd international conference on Machine learning
The Estimation of Distributions and the Minimum Relative Entropy Principle
Evolutionary Computation
Inference of structures of models of probabilistic dependences from statistical data
Cybernetics and Systems Analysis
Neural Networks - Special issue on neural networks and kernel methods for structured domains
Gaussian Processes for Classification: Mean-Field Algorithms
Neural Computation
Ontological inference for image and video analysis
Machine Vision and Applications
Ant colony optimization theory: a survey
Theoretical Computer Science
A Bayesian network classifier and hierarchical Gabor features for handwritten numeral recognition
Pattern Recognition Letters
Combining Generative and Discriminative Models in a Framework for Articulated Pose Estimation
International Journal of Computer Vision
Toward a decision-theoretic framework for affect recognition and user assistance
International Journal of Human-Computer Studies - Human-computer interaction research in the managemant information systems discipline
Towards robustness in query auditing
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Bayesian network based human pose estimation
AIA'06 Proceedings of the 24th IASTED international conference on Artificial intelligence and applications
Detection and application of influence rankings in small group meetings
Proceedings of the 8th international conference on Multimodal interfaces
Collective information extraction with relational Markov networks
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Conditional models for contextual human motion recognition
Computer Vision and Image Understanding - Special issue on modeling people: Vision-based understanding of a person's shape, appearance, movement, and behaviour
Robust model-based scene interpretation by multilayered context information
Computer Vision and Image Understanding
Segmental Hidden Markov Models with Random Effects for Waveform Modeling
The Journal of Machine Learning Research
Expectation Correction for Smoothed Inference in Switching Linear Dynamical Systems
The Journal of Machine Learning Research
Face Hallucination: Theory and Practice
International Journal of Computer Vision
Visual Recognition and Inference Using Dynamic Overcomplete Sparse Learning
Neural Computation
Bayesian methods for multimedia signal processing
Proceedings of the 15th international conference on Multimedia
Inference in multi-agent causal models
International Journal of Approximate Reasoning
Association-based similarity testing and its applications
Intelligent Data Analysis
Learning to detect events with Markov-modulated poisson processes
ACM Transactions on Knowledge Discovery from Data (TKDD)
BM3E: Discriminative Density Propagation for Visual Tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence
SASH: a self-adaptive histogram set for dynamically changing workloads
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
Fda -a scalable evolutionary algorithm for the optimization of additively decomposed functions
Evolutionary Computation
Bayesian spiking neurons i: Inference
Neural Computation
Bayesian spiking neurons ii: Learning
Neural Computation
Machine learning: a review of classification and combining techniques
Artificial Intelligence Review
Statistical Characterization of Protein Ensembles
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Bayesian networks with a logistic regression model for the conditional probabilities
International Journal of Approximate Reasoning
Principled reasoning and practical applications of alert fusion in intrusion detection systems
Proceedings of the 2008 ACM symposium on Information, computer and communications security
Natural interaction in intelligent spaces: Designing for architecture and entertainment
Multimedia Tools and Applications
Probabilistic relevance ranking for collaborative filtering
Information Retrieval
Computer Vision and Image Understanding
Parallell interacting MCMC for learning of topologies of graphical models
Data Mining and Knowledge Discovery
International Journal of Artificial Intelligence in Education
Belief Propagation in Wireless Sensor Networks - A Practical Approach
WASA '08 Proceedings of the Third International Conference on Wireless Algorithms, Systems, and Applications
Word Topic Models for Spoken Document Retrieval and Transcription
ACM Transactions on Asian Language Information Processing (TALIP)
Modeling adaptive kernels from probabilistic phylogenetic trees
Artificial Intelligence in Medicine
Upper bound for variational free energy of Bayesian networks
Machine Learning
Image and Vision Computing
Mean field approach for tracking similar objects
Computer Vision and Image Understanding
Collective annotation of Wikipedia entities in web text
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Learning dynamic temporal graphs for oil-production equipment monitoring system
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
An Inductive Logic Programming Approach to Statistical Relational Learning
Proceedings of the 2005 conference on An Inductive Logic Programming Approach to Statistical Relational Learning
Artificial General Intelligence through Large-Scale, Multimodal Bayesian Learning
Proceedings of the 2008 conference on Artificial General Intelligence 2008: Proceedings of the First AGI Conference
Ranking Answers by Hierarchical Topic Models
IEA/AIE '09 Proceedings of the 22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems: Next-Generation Applied Intelligence
A mission for computational natural language learning
CoNLL-X '06 Proceedings of the Tenth Conference on Computational Natural Language Learning
A computational model of the cerebral cortex
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
Gaussian process models of spatial aggregation algorithms
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Cortical circuitry implementing graphical models
Neural Computation
Proceedings of the International Conference on Management of Emergent Digital EcoSystems
Gaussian process regressors for multiuser detection in DS-CDMA systems
IEEE Transactions on Communications
Classification of graphical data made easy
Neurocomputing
A conditional independence algorithm for learning undirected graphical models
Journal of Computer and System Sciences
Information-driven search strategies in the board game of CLUE®
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Learning Deep Architectures for AI
Foundations and Trends® in Machine Learning
A collaborative training algorithm for distributed learning
IEEE Transactions on Information Theory
Distributed least square for consensus building in sensor networks
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 4
Learning probabilistic decision graphs
International Journal of Approximate Reasoning
Scalable diagnosis in IP networks using path-based measurement and inference: A learning framework
Journal of Visual Communication and Image Representation
Human pose estimation using a mixture of Gaussians based image modeling
HCI'07 Proceedings of the 12th international conference on Human-computer interaction: intelligent multimodal interaction environments
MICAI'07 Proceedings of the artificial intelligence 6th Mexican international conference on Advances in artificial intelligence
Meaningful 3D shape partitioning using Morse functions
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Two-way source coding with a helper
IEEE Transactions on Information Theory
Pattern Recognition Letters
Bayesian Learning in Sparse Graphical Factor Models via Variational Mean-Field Annealing
The Journal of Machine Learning Research
Efficient Heuristics for Discriminative Structure Learning of Bayesian Network Classifiers
The Journal of Machine Learning Research
Discriminative graphical models for faculty homepage discovery
Information Retrieval
Variational inference with graph regularization for image annotation
ACM Transactions on Intelligent Systems and Technology (TIST)
Norm-product belief propagation: primal-dual message-passing for approximate inference
IEEE Transactions on Information Theory
Journal of Visual Communication and Image Representation
A two-stage Bayesian network method for 3D human pose estimation from monocular image sequences
EURASIP Journal on Advances in Signal Processing - Special issue on video analysis for human behavior understanding
Probabilistic latent tensor factorization
LVA/ICA'10 Proceedings of the 9th international conference on Latent variable analysis and signal separation
EURASIP Journal on Advances in Signal Processing - Special issue on biologically inspired signal processing: analyses, algorithms and applications
Multiple frame motion inference using belief propagation
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
SIAM Journal on Discrete Mathematics
Learning latent variable models from distributed and abstracted data
Information Sciences: an International Journal
Information, Divergence and Risk for Binary Experiments
The Journal of Machine Learning Research
Learning to rank audience for behavioral targeting in display ads
Proceedings of the 20th ACM international conference on Information and knowledge management
Effective connectivity analysis of fMRI and MEG data collected under identical paradigms
Computers in Biology and Medicine
Variational approximations between mean field theory and the junction tree algorithm
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
Dynamic background discrimination with a recurrent network
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part II
Message-Passing for inference and optimization of real variables on sparse graphs
ICONIP'06 Proceedings of the 13th international conference on Neural Information Processing - Volume Part II
Efficient spatial classification using decoupled conditional random fields
PKDD'06 Proceedings of the 10th European conference on Principle and Practice of Knowledge Discovery in Databases
Probabilistic management of OCR data using an RDBMS
Proceedings of the VLDB Endowment
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part II
Finding your friends and following them to where you are
Proceedings of the fifth ACM international conference on Web search and data mining
Bayesian independent component analysis with prior constraints: an application in biosignal analysis
Proceedings of the First international conference on Deterministic and Statistical Methods in Machine Learning
Hierarchical generative biclustering for MicroRNA expression analysis
RECOMB'10 Proceedings of the 14th Annual international conference on Research in Computational Molecular Biology
Towards an integrated protein-protein interaction network
RECOMB'05 Proceedings of the 9th Annual international conference on Research in Computational Molecular Biology
Segmentation conditional random fields (SCRFs): a new approach for protein fold recognition
RECOMB'05 Proceedings of the 9th Annual international conference on Research in Computational Molecular Biology
Building Intelligent Interactive Tutors: Student-centered strategies for revolutionizing e-learning
Building Intelligent Interactive Tutors: Student-centered strategies for revolutionizing e-learning
Video fingerprinting using Latent Dirichlet Allocation and facial images
Pattern Recognition
Algorithms for probabilistic latent tensor factorization
Signal Processing
Time complexity of decision trees
Transactions on Rough Sets III
Upper bounds for variational stochastic complexities of bayesian networks
IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
Dependence tree structure estimation via copula
International Journal of Automation and Computing
Bayesian learning for cardiac SPECT image interpretation
Artificial Intelligence in Medicine
Data association based on optimization in graphical models with application to sensor networks
Mathematical and Computer Modelling: An International Journal
A Markovianity based optimisation algorithm
Genetic Programming and Evolvable Machines
The singular values and vectors of low rank perturbations of large rectangular random matrices
Journal of Multivariate Analysis
Supercharging recommender systems using taxonomies for learning user purchase behavior
Proceedings of the VLDB Endowment
Review of statistical network analysis: models, algorithms, and software
Statistical Analysis and Data Mining
Discovering K web user groups with specific aspect interests
MLDM'12 Proceedings of the 8th international conference on Machine Learning and Data Mining in Pattern Recognition
On Decision Trees for (1,2)-Bayesian Networks
Fundamenta Informaticae
Recognizing Inference in Texts with Markov Logic Networks
ACM Transactions on Asian Language Information Processing (TALIP) - Special Issue on RITE
A Bayesian network for burr detection in the drilling process
Journal of Intelligent Manufacturing
Location-based reasoning about complex multi-agent behavior
Journal of Artificial Intelligence Research
Stochastic variational inference
The Journal of Machine Learning Research
Information Sciences: an International Journal
Approximation trade-offs in a Markovian stream warehouse: An empirical study
Information Systems
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