Variational learning in nonlinear Gaussian belief networks
Neural Computation
Bayesian networks for lossless dataset compression
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Ordered Binary Decision Diagrams and Minimal Trellises
IEEE Transactions on Computers
International Journal of Computer Vision - Special issue on statistical and computational theories of vision: modeling, learning, sampling and computing, Part I
Schemata, Distributions and Graphical Models in Evolutionary Optimization
Journal of Heuristics
Maximum a Posteriori Estimation of Coupled Hidden Markov Models
Journal of VLSI Signal Processing Systems
Transformation-Invariant Clustering Using the EM Algorithm
IEEE Transactions on Pattern Analysis and Machine Intelligence
Mini-buckets: A general scheme for bounded inference
Journal of the ACM (JACM)
Network Delay Tomography from End-to-End Unicast Measurements
IWDC '01 Proceedings of the Thyrrhenian International Workshop on Digital Communications: Evolutionary Trends of the Internet
Generating Data Analysis Programs from Statistical Models
SAIG '00 Proceedings of the International Workshop on Semantics, Applications, and Implementation of Program Generation
Algebraic Constructions for PSK Space-Time Coded Modulation
AAECC-14 Proceedings of the 14th International Symposium on Applied Algebra, Algebraic Algorithms and Error-Correcting Codes
A Double-Loop Algorithm to Minimize the Bethe Free Energy
EMMCVPR '01 Proceedings of the Third International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition
Topic Extraction from Text Documents Using Multiple-Cause Networks
PRICAI '02 Proceedings of the 7th Pacific Rim International Conference on Artificial Intelligence: Trends in Artificial Intelligence
Understanding belief propagation and its generalizations
Exploring artificial intelligence in the new millennium
Mixtures of Local Linear Subspaces for Face Recognition
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
A Generative Probabilistic Oriented Wavelet Model for Texture Segmentation
Neural Processing Letters
Decision-feedback interference suppression in CDMA systems: a ML-based semiblind approach
Signal Processing - Special section: Security of data hiding technologies
AutoBayes: a system for generating data analysis programs from statistical models
Journal of Functional Programming
Estimators for stochastic "Unification-Based" grammars
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Semantic extraction with wide-coverage lexical resources
NAACL-Short '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology: companion volume of the Proceedings of HLT-NAACL 2003--short papers - Volume 2
Statistical Models for Empirical Search-Based Performance Tuning
International Journal of High Performance Computing Applications
Unifying tree decompositions for reasoning in graphical models
Artificial Intelligence
Fuzzy Metagraph and Its Combination with the Indexing Approach in Rule-Based Systems
IEEE Transactions on Knowledge and Data Engineering
Robust and efficient detection of DDoS attacks for large-scale internet
Computer Networks: The International Journal of Computer and Telecommunications Networking
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
High quality queueing information from accelerated active network tomography
Proceedings of the 4th International Conference on Testbeds and research infrastructures for the development of networks & communities
Computer Vision and Image Understanding
Occlusion Boundaries from Motion: Low-Level Detection and Mid-Level Reasoning
International Journal of Computer Vision
A rate and history-preserving resampling algorithm for neural spike trains
Neural Computation
Unifying tree decompositions for reasoning in graphical models
Artificial Intelligence
A variational inference framework for soft-in soft-out detection in multiple-access channels
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
Belief propagation based decoding of large non-orthogonal STBCs
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 3
Decoding network codes by message passing
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 1
A new framework for machine learning
WCCI'08 Proceedings of the 2008 IEEE world conference on Computational intelligence: research frontiers
Bayesian compressive sensing via belief propagation
IEEE Transactions on Signal Processing
Mining advisor-advisee relationships from research publication networks
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
An examplar-based approach for texture compaction synthesis and retrieval
IEEE Transactions on Image Processing
Communications of the ACM
Cyclic articulated human motion tracking by sequential ancestral simulation
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Norm-product belief propagation: primal-dual message-passing for approximate inference
IEEE Transactions on Information Theory
3D knowledge-based segmentation using pose-invariant higher-order graphs
MICCAI'10 Proceedings of the 13th international conference on Medical image computing and computer-assisted intervention: Part III
Probabilistic graphical models in artificial intelligence
Applied Soft Computing
Resource Allocation via Message Passing
INFORMS Journal on Computing
Large scale probabilistic available bandwidth estimation
Computer Networks: The International Journal of Computer and Telecommunications Networking
On the Implementation of a Quasi-Generic Synchronization Architecture for Linear Digital Modulations
Journal of Signal Processing Systems
A graph model for mutual information based clustering
Journal of Intelligent Information Systems
Towards accelerating irregular EDA applications with GPUs
Integration, the VLSI Journal
Variational learning in mixed-state dynamic graphical models
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Monte Carlo inference via greedy importance sampling
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
Modeling context as statistical dependence
CONTEXT'05 Proceedings of the 5th international conference on Modeling and Using Context
Resource Allocation via Message Passing
INFORMS Journal on Computing
Complexity-compression tradeoffs in lossy compression via efficient random codebooks and databases
Problems of Information Transmission
Journal of Computational Physics
Computer Vision and Image Understanding
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