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» Probabilistic Inductive Logic Programming
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KDD
2009
ACM
175views Data Mining» more  KDD 2009»
14 years 1 months ago
Multi-class protein fold recognition using large margin logic based divide and conquer learning
Inductive Logic Programming (ILP) systems have been successfully applied to solve complex problems in bioinformatics by viewing them as binary classification tasks. It remains an...
Huma Lodhi, Stephen Muggleton, Michael J. E. Stern...
CSL
2003
Springer
14 years 1 months ago
Modular Semantics and Logics of Classes
The semantics of class-based languages can be defined in terms of objects only [8, 7, 1] if classes are viewed as objects with a constructor method. One obtains a store in which m...
Bernhard Reus
POPL
2006
ACM
14 years 9 months ago
Small bisimulations for reasoning about higher-order imperative programs
We introduce a new notion of bisimulation for showing contextual equivalence of expressions in an untyped lambda-calculus with an explicit store, and in which all expressed values...
Vasileios Koutavas, Mitchell Wand
ATAL
2010
Springer
13 years 9 months ago
Learning context conditions for BDI plan selection
An important drawback to the popular Belief, Desire, and Intentions (BDI) paradigm is that such systems include no element of learning from experience. In particular, the so-calle...
Dhirendra Singh, Sebastian Sardiña, Lin Pad...
JASIS
2000
143views more  JASIS 2000»
13 years 8 months ago
Discovering knowledge from noisy databases using genetic programming
s In data mining, we emphasize the need for learning from huge, incomplete and imperfect data sets (Fayyad et al. 1996, Frawley et al. 1991, Piatetsky-Shapiro and Frawley, 1991). T...
Man Leung Wong, Kwong-Sak Leung, Jack C. Y. Cheng