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← Core Methods
Machine Learning
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Core Methods
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Probabilistic Modeling
363 directly classified papers
Papers per year
2003: 5
2006: 9
2007: 10
2008: 7
2009: 10
2010: 9
2011: 15
2012: 31
2013: 28
2014: 17
2015: 8
2016: 16
2017: 11
2018: 23
2019: 24
2020: 30
2021: 27
2022: 14
2023: 14
2024: 37
2025: 18
Papers
Modeling General and Specific Aspects of Documents with a Probabilistic Topic Model
NIPS 2006
Single Channel Speech Separation Using Factorial Dynamics
NIPS 2006
Learning annotated hierarchies from relational data
NIPS 2006
Statistical Modeling of Images with Fields of Gaussian Scale Mixtures
NIPS 2006
Unified Inference for Variational Bayesian Linear Gaussian State-Space Models
NIPS 2006
Simplifying Mixture Models through Function Approximation
NIPS 2006
Mutagenetic tree Fisher kernel improves prediction of HIV drug resistance from viral genotype
NIPS 2006
Differential Entropic Clustering of Multivariate Gaussians
NIPS 2006
Blind Source Recovery: A Framework in the State Space
JMLR 2003
A Maximum Likelihood Approach to Single-channel Source Separation
JMLR 2003
Overlearning in Marginal Distribution-Based ICA: Analysis and Solutions
JMLR 2003
Statistical Dynamics of On-line Independent Component Analysis
JMLR 2003
A Multiscale Framework For Blind Separation of Linearly Mixed Signals
JMLR 2003
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