573 search results - page 97 / 115 » Probabilistic Explanation Based Learning |
144
Voted
ALT
2008
Springer
15 years 4 months ago
2008
Springer
Abstract. We consider the problem of sequence prediction in a probabilistic setting. Let there be given a class C of stochastic processes (probability measures on the set of one-wa...
102
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PAMI
2006
15 years 2 months ago
2006
Gaussian process classifiers (GPCs) are Bayesian probabilistic kernel classifiers. In GPCs, the probability of belonging to a certain class at an input location is monotonically re...
118
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ACL
2010
15 years 12 days ago
2010
Extracting knowledge from unstructured text is a long-standing goal of NLP. Although learning approaches to many of its subtasks have been developed (e.g., parsing, taxonomy induc...
113
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ICML
2004
IEEE
16 years 3 months ago
2004
IEEE
A standard method for approximating averages in probabilistic models is to construct a Markov chain in the product space of the random variables with the desired equilibrium distr...
124
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KDD
2002
ACM
16 years 2 months ago
2002
ACM
There exists a huge demand for multimedia goods and services in the Internet. Currently available bandwidth speeds can support sale of downloadable content like CDs, e-books, etc....