posterior probability

DBN-ivector Framework for Acoustic Emotion Recognition Interspeech 2016 Improving Structure MCMC for Bayesian Networks through Markov Blanket Resampling JMLR 2016 Low-Rank Representation of Nearest Neighbor Posterior Probabilities to Enhance DNN Based Acoustic Modeling Interspeech 2016 Maximum a posteriori Based Decoding for CTC Acoustic Models Interspeech 2016 Phonetic and Phonological Posterior Search Space Hashing Exploiting Class-Specific Sparsity Structures Interspeech 2016 Segmented Dynamic Time Warping for Spoken Query-by-Example Search Interspeech 2016 Simple Bayesian Algorithms for Best Arm Identification COLT 2016 Subspace Detection of DNN Posterior Probabilities via Sparse Representation for Query by Example Spoken Term Detection Interspeech 2016 The Parameterized Complexity of Approximate Inference in Bayesian Networks PGM 2016 Towards Online-Recognition with Deep Bidirectional LSTM Acoustic Models Interspeech 2016 A View of Margin Losses as Regularizers of Probability Estimates JMLR 2015 Improving Ferns Ensembles by Sparsifying and Quantising Posterior Probabilities ICCV 2015 Finding a most biased coin with fewest flips COLT 2014 Interval Tracker: Tracking by Interval Analysis CVPR 2014 Bayesian Quadrature for Ratios AISTATS 2012 Bounding the Probability of Error for High Precision Optical Character Recognition JMLR 2012 Proper losses for learning from partial labels NeurIPS 2012 Select and Sample - A Model of Efficient Neural Inference and Learning NeurIPS 2011 Bayesian structure discovery in Bayesian networks with less space AISTATS 2010 Learning Nondeterministic Classifiers JMLR 2009 Exact Bayesian Structure Discovery in Bayesian Networks JMLR 2004