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» Learning Structurally Indeterminate Clauses
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AAAI
2010
13 years 9 months ago
Structure Learning for Markov Logic Networks with Many Descriptive Attributes
Many machine learning applications that involve relational databases incorporate first-order logic and probability. Markov Logic Networks (MLNs) are a prominent statistical relati...
Hassan Khosravi, Oliver Schulte, Tong Man, Xiaoyua...
SAT
2009
Springer
119views Hardware» more  SAT 2009»
14 years 2 months ago
Backdoors in the Context of Learning
The concept of backdoor variables has been introduced as a structural property of combinatorial problems that provides insight into the surprising ability of modern satisfiability...
Bistra N. Dilkina, Carla P. Gomes, Ashish Sabharwa...
ETAI
2000
84views more  ETAI 2000»
13 years 7 months ago
Learning Stochastic Logic Programs
Stochastic logic programs combine ideas from probabilistic grammars with the expressive power of definite clause logic; as such they can be considered as an extension of probabili...
Stephen Muggleton
CP
2008
Springer
13 years 9 months ago
A New Empirical Study of Weak Backdoors
Abstract. Work by Kilby, Slaney, Thiebaux and Walsh [1] showed that the backdoors and backbones of unstructured Random 3SAT instances are largely disjoint. In this work we extend t...
Peter Gregory, Maria Fox, Derek Long
ICALT
2006
IEEE
14 years 1 months ago
The Generation of E-Learning Exercise Problems from Subject Ontologies
The teaching/ learning of cognitive skills, such as problem-solving, is an important goal in most forms of education. In well-structured subject areas certain exercise problem typ...
Edmond Holohan, Mark Melia, Declan McMullen, Claus...