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» The Connectionist Inductive Learning and Logic Programming S...
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AIMSA
2008
Springer
15 years 6 months ago
Prototypes Based Relational Learning
Relational instance-based learning (RIBL) algorithms offer high prediction capabilities. However, they do not scale up well, specially in domains where there is a time bound for c...
Rocío García-Durán, Fernando ...
118
Voted
ILP
2007
Springer
15 years 5 months ago
Learning to Assign Degrees of Belief in Relational Domains
A recurrent question in the design of intelligent agents is how to assign degrees of beliefs, or subjective probabilities, to various events in a relational environment. In the sta...
Frédéric Koriche
107
Voted
PLPV
2009
ACM
15 years 8 months ago
Positively dependent types
This paper is part of a line of work on using the logical techniques of polarity and focusing to design a dependent programming language, with particular emphasis on programming w...
Daniel R. Licata, Robert Harper
106
Voted
PKDD
2007
Springer
146views Data Mining» more  PKDD 2007»
15 years 5 months ago
A Method for Multi-relational Classification Using Single and Multi-feature Aggregation Functions
This paper presents a novel method for multi-relational classification via an aggregation-based Inductive Logic Programming (ILP) approach. We extend the classical ILP representati...
Richard Frank, Flavia Moser, Martin Ester
117
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ICLP
1999
Springer
15 years 3 months ago
Logic Programming in Oz with Mozart
Oz is a multiparadigm language that supports logic programming as one of its major paradigms. A multiparadigm language is designed to support different programming paradigms (log...
Peter Van Roy