270 search results - page 16 / 54 » Learning Stochastic Logic Programs |
ML
2006
ACM
13 years 7 months ago
2006
ACM
The application of Inductive Logic Programming to scientific datasets has been highly successful. Such applications have led to breakthroughs in the domain of interest and have dri...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
Abstract. Weighted logic programming, a generalization of bottom-up logic programming, is a successful framework for specifying dynamic programming algorithms. In this setting, pro...
PKDD
2004
Springer
14 years 1 months ago
2004
Springer
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...
SAINT
2005
IEEE
14 years 1 months ago
2005
IEEE
Inductive Logic Programming (ILP) is a combination of inductive learning and first-order logic aiming to learn first-order hypotheses from training examples. ILP has a serious b...
CP
2006
Springer
13 years 11 months ago
2006
Springer
This paper describes a complete and efficient solution to the stochastic allocation and scheduling for Multi-Processor System-on-Chip (MPSoC). Given a conditional task graph charac...