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CLEIEJ
2010
14 years 9 months ago
Logic Programming: Can the learning and teaching process be improved apart from standards adopted by most professors and establi
Logic programming is one of the most important subjects for students pursuing a degree in Information Technology and Communication (ITC) at higher education institutions. Teaching ...
Ricardo Luiz B. L. Campos
KDD
2009
ACM
175views Data Mining» more  KDD 2009»
15 years 4 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...
PKDD
2004
Springer
118views Data Mining» more  PKDD 2004»
15 years 5 months ago
Learning from Multi-source Data
This paper proposes an efficient method to learn from multi source data with an Inductive Logic Programming method. The method is based on two steps. The first one consists in lea...
Élisa Fromont, Marie-Odile Cordier, Rene Qu...
ICML
2007
IEEE
16 years 17 days ago
Bottom-up learning of Markov logic network structure
Markov logic networks (MLNs) are a statistical relational model that consists of weighted firstorder clauses and generalizes first-order logic and Markov networks. The current sta...
Lilyana Mihalkova, Raymond J. Mooney
MLG
2007
Springer
15 years 6 months ago
Abductive Stochastic Logic Programs for Metabolic Network Inhibition Learning
Abstract. We revisit an application developed originally using Inductive Logic Programming (ILP) by replacing the underlying Logic Program (LP) description with Stochastic Logic Pr...
Jianzhong Chen, Stephen Muggleton, Jose Santos