Sciweavers

237 search results - page 7 / 48
» Incremental Learning in Inductive Programming
Sort
View
ICML
1998
IEEE
15 years 10 months ago
Genetic Programming and Deductive-Inductive Learning: A Multi-Strategy Approach
Genetic Programming (GP) is a machine learning technique that was not conceived to use domain knowledge for generating new candidate solutions. It has been shown that GP can bene ...
Ricardo Aler, Daniel Borrajo, Pedro Isasi
85
Voted
IAT
2006
IEEE
15 years 3 months ago
Toward Inductive Logic Programming for Collaborative Problem Solving
In this paper, we tackle learning in distributed systems and the fact that learning does not necessarily involve the participation of agents directly in the inductive process itse...
Jian Huang, Adrian R. Pearce
ISCI
1998
139views more  ISCI 1998»
14 years 9 months ago
A Rough Set Approach to Attribute Generalization in Data Mining
This paper presents a method for updating approximations of a concept incrementally. The results can be used to implement a quasi-incremental algorithm for learning classification...
Chien-Chung Chan
APIN
1999
110views more  APIN 1999»
14 years 9 months ago
The Connectionist Inductive Learning and Logic Programming System
The Connectionist Inductive Learning and Logic Programming System, C-IL 2 P, integrates the symbolic and connectionist paradigms of Artificial Intelligence through neural networks...
Artur S. d'Avila Garcez, Gerson Zaverucha
CORR
2000
Springer
120views Education» more  CORR 2000»
14 years 9 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 ...