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» Models for Incomplete and Probabilistic Information
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140
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IPM
2006
83views more  IPM 2006»
15 years 3 months ago
A risk minimization framework for information retrieval
This paper presents a probabilistic information retrieval framework in which the retrieval problem is formally treated as a statistical decision problem. In this framework, querie...
ChengXiang Zhai, John D. Lafferty
WABI
2007
Springer
157views Bioinformatics» more  WABI 2007»
15 years 10 months ago
Composing Globally Consistent Pathway Parameter Estimates Through Belief Propagation
Abstract. Parameter estimation of large bio-pathway models is an important and difficult problem. To reduce the prohibitive computational cost, one approach is to decompose a large...
Geoffrey Koh, Lisa Tucker-Kellogg, David Hsu, P. S...
ECIR
2007
Springer
15 years 5 months ago
Multinomial Randomness Models for Retrieval with Document Fields
Document fields, such as the title or the headings of a document, offer a way to consider the structure of documents for retrieval. Most of the proposed approaches in the literatu...
Vassilis Plachouras, Iadh Ounis
IDT
2010
124views more  IDT 2010»
15 years 2 months ago
Modelling decision making with probabilistic causation
Humans know how to reason based on cause and effect, but cause and effect is not enough to draw conclusions due to the problem of imperfect information and uncertainty. To resol...
Luís Moniz Pereira, Carroline Kencana Ramli
130
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IJCNN
2000
IEEE
15 years 8 months ago
Probabilistic Neural Network Models for Sequential Data
It has already been shown how Artificial Neural Networks (ANNs) can be incorporated into probabilistic models. In this paper we review some of the approaches which have been prop...
Yoshua Bengio