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» Learning Stochastic Logic Programs
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ILP
1999
Springer
13 years 12 months ago
Approximate ILP Rules by Backpropagation Neural Network: A Result on Thai Character Recognition
This paper presents an application of Inductive Logic Programming (ILP) and Backpropagation Neural Network (BNN) to the problem of Thai character recognition. In such a learning pr...
Boonserm Kijsirikul, Sukree Sinthupinyo
CORR
2007
Springer
172views Education» more  CORR 2007»
13 years 7 months ago
A Data-Parallel Version of Aleph
This is to present work on modifying the Aleph ILP system so that it evaluates the hypothesised clauses in parallel by distributing the data-set among the nodes of a parallel or di...
Stasinos Konstantopoulos
AAAI
1998
13 years 9 months ago
Learning Investment Functions for Controlling the Utility of Control Knowledge
The utility problem occurs when the cost of the acquired knowledge outweighs its bene ts. When the learner acquires control knowledge for speeding up a problem solver, the bene t ...
Oleg Ledeniov, Shaul Markovitch
SDMW
2004
Springer
14 years 1 months ago
PeerTrust: Automated Trust Negotiation for Peers on the Semantic Web
Abstract. Researchers have recently begun to develop and investigate policy languages to describe trust and security requirements on the Semantic Web. Such policies will be one com...
Wolfgang Nejdl, Daniel Olmedilla, Marianne Winslet...
RECOMB
2003
Springer
14 years 8 months ago
Optimizing exact genetic linkage computations
Genetic linkage analysis is a challenging application which requires Bayesian networks consisting of thousands of vertices. Consequently, computing the likelihood of data, which i...
Dan Geiger, Maáyan Fishelson