Probabilistic Modeling
3,137 papers
Papers per year
1
1
2
3
3
8
37
52
49
49
90
61
95
108
111
98
128
128
160
239
265
277
248
273
315
220
116
2000
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Papers
Probabilistic Non-linear Principal Component Analysis with Gaussian Process Latent Variable Models
JMLR 2005
What's Strange About Recent Events (WSARE): An Algorithm for the Early Detection of Disease Outbreaks
JMLR 2005
Exact Bayesian Structure Discovery in Bayesian Networks
JMLR 2004
Hierarchical Latent Class Models for Cluster Analysis
JMLR 2004
Probability Product Kernels
JMLR 2004
Combining Knowledge from Different Sources in Causal Probabilistic Models
JMLR 2003
Energy-Based Models for Sparse Overcomplete Representations
JMLR 2003
Learning Probabilistic Models: An Expected Utility Maximization Approach
JMLR 2003
Learning Probabilistic Models of Link Structure
JMLR 2002
The Representational Power of Discrete Bayesian Networks
JMLR 2002
Class-Based Probability Estimation Using a Semantic Hierarchy
NAACL 2001
Learning with Mixtures of Trees
JMLR 2000