250 search results - page 33 / 50 » Learning Probabilistic Models of Word Sense Disambiguation |
APIN
1999
14 years 11 months ago
1999
We present a method for mapping a given Bayesian network to a Boltzmann machine architecture, in the sense that the the updating process of the resulting Boltzmann machine model pr...
RECOMB
2004
Springer
16 years 8 days ago
2004
Springer
In this paper, we explore modeling overlapping biological processes. We discuss a probabilistic model of overlapping biological processes, gene membership in those processes, and ...
KDD
2010
ACM
15 years 3 months ago
2010
ACM
In this paper, we propose a new probabilistic generative model, called Topic-Perspective Model, for simulating the generation process of social annotations. Different from other g...
ACL
2008
2008
Using Adaptor Grammars to Identify Synergies in the Unsupervised Acquisition of Linguistic Structure
15 years 1 months ago
Adaptor grammars (Johnson et al., 2007b) are a non-parametric Bayesian extension of Probabilistic Context-Free Grammars (PCFGs) which in effect learn the probabilities of entire s...
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JCB
2006
14 years 12 months ago
2006
Biological systems are traditionally studied by focusing on a specific subsystem, building an intuitive model for it, and refining the model using results from carefully designed ...