Sciweavers

270 search results - page 9 / 54
» Learning Stochastic Logic Programs
Sort
View
ICANN
2010
Springer
13 years 8 months ago
Neuro-symbolic Representation of Logic Programs Defining Infinite Sets
It has been one of the great challenges of neuro-symbolic integration to represent recursive logic programs using neural networks of finite size. In this paper, we propose to imple...
Ekaterina Komendantskaya, Krysia Broda, Artur S. d...
LPKR
1997
Springer
13 years 11 months ago
A System for Abductive Learning of Logic Programs
We present the system LAP (Learning Abductive Programs) that is able to learn abductive logic programs from examples and from a background abductive theory. A new type of induction...
Evelina Lamma, Paola Mello, Michela Milano, Fabriz...
SIGCSE
2002
ACM
202views Education» more  SIGCSE 2002»
13 years 7 months ago
A tutorial program for propositional logic with human/computer interactive learning
This paper describes a tutorial program that serves a double role as an educational tool and a research environment. First, it introduces students to fundamental concepts of propo...
Stacy Lukins, Alan Levicki, Jennifer Burg
ILP
2005
Springer
14 years 1 months ago
Learning Teleoreactive Logic Programs from Problem Solving
In this paper, we focus on the problem of learning reactive skills for use by physical agents. We propose a new representation for such procedures, teleoreactive logic programs, al...
Dongkyu Choi, Pat Langley
CORR
2000
Springer
120views Education» more  CORR 2000»
13 years 7 months ago
Scaling Up Inductive Logic Programming by Learning from Interpretations
When comparing inductive logic programming (ILP) and attribute-value learning techniques, there is a trade-off between expressive power and efficiency. Inductive logic programming ...
Hendrik Blockeel, Luc De Raedt, Nico Jacobs, Bart ...