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Probabilistic Modeling

2591 directly classified papers

Papers per year

Papers

Learning Complex Uncertain States Changes via Asymmetric Hidden Markov Models: an Industrial Case PGM 2016
On Stacking Probabilistic Temporal Models with Bidirectional Information Flow PGM 2016
RAID-G: Robust Estimation of Approximate Infinite Dimensional Gaussian With Application to Material Recognition CVPR 2016
A Field Model for Repairing 3D Shapes CVPR 2016
Bottom-Up and Top-Down Reasoning With Hierarchical Rectified Gaussians CVPR 2016
HMM-Based Non-Native Accent Assessment Using Posterior Features INTERSPEECH 2016
Copula Ordinal Regression for Joint Estimation of Facial Action Unit Intensity CVPR 2016
Unsupervised Stress Information Labeling Using Gaussian Process Latent Variable Model for Statistical Speech Synthesis INTERSPEECH 2016
UAV Sensor Fusion With Latent-Dynamic Conditional Random Fields in Coronal Plane Estimation CVPR 2016
Probabilistic Approach Using Joint Clean and Noisy i-Vectors Modeling for Speaker Recognition INTERSPEECH 2016
A Probabilistic Collaborative Representation Based Approach for Pattern Classification CVPR 2016
Latent Variable Graphical Model Selection Using Harmonic Analysis: Applications to the Human Connectome Project (HCP) CVPR 2016
A Fixed-Point Operator for Inference in Variational Bayesian Latent Gaussian Models AISTATS 2016
Scalable MCMC for Mixed Membership Stochastic Blockmodels AISTATS 2016
Latent Point Process Allocation AISTATS 2016
Boolean Matrix Factorization and Noisy Completion via Message Passing ICML 2016
Hierarchical Compound Poisson Factorization ICML 2016
PHOG: Probabilistic Model for Code ICML 2016
The Sum-Product Theorem: A Foundation for Learning Tractable Models ICML 2016
Learning Planar Ising Models JMLR 2016
Markov-modulated Marked Poisson Processes for Check-in Data ICML 2016
Collapsed Variational Inference for Sum-Product Networks ICML 2016
Probabilistic Prototype Model for Serendipitous Property Mining COLING 2016
Operator Variational Inference NIPS 2016
Structured Generative Models of Continuous Features for Word Sense Induction COLING 2016