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Probabilistic Modeling

2591 directly classified papers

Papers per year

Papers

Predicting Disease Progression with a Model for Multivariate Longitudinal Clinical Data MLHC 2016
Monte Carlo Markov Chain Algorithms for Sampling Strongly Rayleigh Distributions and Determinantal Point Processes COLT 2016
A Probabilistic Framework for Real-time 3D Segmentation using Spatial, Temporal, and Semantic Cues RSS 2016
Estimating SE(3) elements using a dual quaternion based linear Kalman filter RSS 2016
Gaussian Processes for Survival Analysis NIPS 2016
On the Importance of Efficient Transition Modeling for Speaker Diarization INTERSPEECH 2016
Voice Conversion Based on Matrix Variate Gaussian Mixture Model Using Multiple Frame Features INTERSPEECH 2016
Learning under uncertainty: a comparison between R-W and Bayesian approach NIPS 2016
Identifying the irreducible disjoint factors of a multivariate probability distribution PGM 2016
Decisions and Dependence in Influence Diagrams PGM 2016
Evidence Evaluation: a Study of Likelihoods and Independence PGM 2016
Joint Bayesian Modelling of Internal Dependencies and Relevant Multimorbidities of a Heterogeneous Disease PGM 2016
Multi-Label Classification with Cutset Networks PGM 2016
Probabilistic Graphical Models Specified by Probabilistic Logic Programs: Semantics and Complexity PGM 2016
Conditional Probability Estimation PGM 2016
Attend, Infer, Repeat: Fast Scene Understanding with Generative Models NIPS 2016
Unsupervised Learning of 3D Structure from Images NIPS 2016
Variational Inference in Mixed Probabilistic Submodular Models NIPS 2016
DISCO Nets : DISsimilarity COefficients Networks NIPS 2016
Bayesian Graphical Models for Multivariate Functional Data JMLR 2016
Bayesian group factor analysis with structured sparsity JMLR 2016
Stable Graphical Models JMLR 2016
A Probabilistic Framework for Deep Learning NIPS 2016
Joint Structural Estimation of Multiple Graphical Models JMLR 2016
Minimax Adaptive Estimation of Nonparametric Hidden Markov Models JMLR 2016