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Bayesian Inference

4821 directly classified papers

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Papers

Annular Augmentation Sampling AISTATS 2017
An Investigation of Emotion Prediction Uncertainty Using Gaussian Mixture Regression INTERSPEECH 2017
Acoustic-to-Articulatory Mapping Based on Mixture of Probabilistic Canonical Correlation Analysis INTERSPEECH 2017
Bayesian Learning and Inference in Recurrent Switching Linear Dynamical Systems AISTATS 2017
Learning Optimal Interventions AISTATS 2017
Dynamic Facial Analysis: From Bayesian Filtering to Recurrent Neural Network CVPR 2017
Semi-Supervised Learning of a Pronunciation Dictionary from Disjoint Phonemic Transcripts and Text INTERSPEECH 2017
Disambiguating Energy Disaggregation: A Collective Probabilistic Approach IJCAI 2017
Modeling Physicians' Utterances to Explore Diagnostic Decision-making IJCAI 2017
Unsupervised Dialogue Act Induction using Gaussian Mixtures EACL 2017
A Bayesian Approach to Argument-Based Reasoning for Attack Estimation IJCAI 2017
Improving Learning-from-Crowds through Expert Validation IJCAI 2017
Lean Crowdsourcing: Combining Humans and Machines in an Online System CVPR 2017
Variational Bayesian Multiple Instance Learning With Gaussian Processes CVPR 2017
Model-Based Iterative Restoration for Binary Document Image Compression With Dictionary Learning CVPR 2017
Hierarchical Constrained Bayesian Optimization for Feature, Acoustic Model and Decoder Parameter Optimization INTERSPEECH 2017
Multi-Information Source Optimization NIPS 2017
Non-Stationary Spectral Kernels NIPS 2017
Signal-based Bayesian Seismic Monitoring AISTATS 2017
Principles for Learning Controllable TTS from Annotated and Latent Variation INTERSPEECH 2017
Nonparametrically Trained Probabilistic Linear Discriminant Analysis for i-Vector Speaker Verification INTERSPEECH 2017
Estimation of the Probability Distribution of Spectral Fine Structure in the Speech Source INTERSPEECH 2017
Inferring Human Attention by Learning Latent Intentions IJCAI 2017
Open-World Probabilistic Databases: An Abridged Report IJCAI 2017
Automatic Discovery of the Statistical Types of Variables in a Dataset ICML 2017