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← Bayesian & Probabilistic
Machine Learning
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Bayesian & Probabilistic
›
Probabilistic Modeling
1884 directly classified papers
Papers per year
2002: 1
2003: 6
2004: 3
2005: 5
2006: 49
2007: 50
2008: 36
2009: 45
2010: 77
2011: 48
2012: 101
2013: 122
2014: 107
2015: 46
2016: 91
2017: 93
2018: 125
2019: 127
2020: 182
2021: 113
2022: 136
2023: 105
2024: 145
2025: 70
2026: 1
Papers
PAC-learnability of Probabilistic Deterministic Finite State Automata
JMLR 2004
Exact Bayesian Structure Discovery in Bayesian Networks
JMLR 2004
Optimality of Universal Bayesian Sequence Prediction for General Loss and Alphabet
JMLR 2003
A Unified Framework for Model-based Clustering
JMLR 2003
Beyond Independent Components: Trees and Clusters
JMLR 2003
A Generative Model for Separating Illumination and Reflectance from Images
JMLR 2003
Latent Dirichlet Allocation
JMLR 2003
Learning Probabilistic Models: An Expected Utility Maximization Approach
JMLR 2003
Learning Probabilistic Models of Link Structure
JMLR 2002
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