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ML
2008
ACM
150views Machine Learning» more  ML 2008»
13 years 7 months ago
Learning probabilistic logic models from probabilistic examples
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, José Car...
JSAI
2005
Springer
14 years 27 days ago
Learning Stochastic Logical Automaton
Abstract. This paper is concerned with algorithms for the logical generalisation of probabilistic temporal models from examples. The algorithms combine logic and probabilistic mode...
Hiroaki Watanabe, Stephen Muggleton
OOPSLA
2010
Springer
13 years 5 months ago
A simple inductive synthesis methodology and its applications
Given a high-level specification and a low-level programming language, our goal is to automatically synthesize an efficient program that meets the specification. In this paper,...
Shachar Itzhaky, Sumit Gulwani, Neil Immerman, Moo...
SEMWEB
2010
Springer
13 years 5 months ago
Towards Semantic Annotation Supported by Dependency Linguistics and ILP
In this paper we present a method for semantic annotation of texts, which is based on a deep linguistic analysis (DLA) and Inductive Logic Programming (ILP). The combination of DLA...
Jan Dedek
FLAIRS
2001
13 years 8 months ago
Graph-Based Concept Learning
We introduce the graph-based relational concept learner SubdueCL. We start with a brief description of other graph-based learning systems: the Galois lattice, Conceptual Graphs, a...
Jesus A. Gonzalez, Lawrence B. Holder, Diane J. Co...