Inferential theory of learning

Known as: ITL, Inferential 
Inferential theory of learning (ITL) is an area of machine learning which describes inferential processes performed by learning agents. ITL has been… (More)
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Highly Cited
2007
Highly Cited
2007
Semantic inference is a key component for advanced natural language understanding. However, existing collections of automatically… (More)
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Highly Cited
2005
Highly Cited
2005
Macromolecular structures calculated from nuclear magnetic resonance data are not fully determined by experimental data but… (More)
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Highly Cited
2005
Highly Cited
2005
Language Modeling (LM) has been successfully applied to Information Retrieval (IR). However, most of the existing LM approaches… (More)
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2003
2003
ion Concretion Association Disassociation Similization Dissimilization Selection Generation Agglomeration Decomposition… (More)
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Highly Cited
2002
Highly Cited
2002
This paper develops an inferential theory for factor models of large dimensions. The principal components estimator is considered… (More)
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Highly Cited
2002
Highly Cited
2002
Service matchmaking among heterogeneous software agents in the Internet is usually done dynamically and must be efficient. There… (More)
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Highly Cited
2001
Highly Cited
2001
Azzalini & Dalla Valle (1996) have recently discussed the multivariate skew-normal distribution which extends the class of normal… (More)
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Highly Cited
1999
Highly Cited
1999
This paper deals with both exploration and interpretation problems related to posterior distributions for mixture models. The… (More)
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Highly Cited
1993
Highly Cited
1993
In view of a great proliferation of machine learning methods and paradigms, there is a need for a general conceptual framework… (More)
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Highly Cited
1992
Highly Cited
1992
The development of multistrategy learning systems should be based on a clear understanding of the roles and the applicability… (More)
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