266 search results - page 1 / 54 » Bayesian Inductive Logic Programming |
COLT
1994
Springer
14 years 9 months ago
1994
Springer
Inductive Logic Programming (ILP) involves the construction of first-order definite clause theories from examples and background knowledge. Unlike both traditional Machine Learnin...
ILP
2007
Springer
14 years 11 months ago
2007
Springer
Stochastically searching the space of candidate clauses is an appealing way to scale up ILP to large datasets. We address an approach that uses a Bayesian network model to adaptive...
ILP
2001
Springer
14 years 9 months ago
2001
Springer
In the line of previous work by S. Muggleton and C. Sakama, we extend the logical characterization of inductive logic programming, to normal logic programs under the stable models ...
ASP
2001
Springer
14 years 8 months ago
2001
Springer
This paper presents a novel application of answer set programming to concept learning in nonmonotonic logic programs. Given an extended logic program as a background theory, we in...
IDA
2005
Springer
14 years 10 months ago
2005
Springer
Abstract. This paper introduces Higher-Order Bayesian Networks, a probabilistic reasoning formalism which combines the efficient reasoning mechanisms of Bayesian Networks with the...