275 search results - page 1 / 55 » A Comparison of Pruning Methods for Relational Concept Learn... |
KDD
1994
ACM
13 years 8 months ago
1994
ACM
Pre-Pruning and Post-Pruning are two standard methods of dealing with noise in concept learning. Pre-Pruning methods are very efficient, while Post-Pruning methods typically are m...
ICML
2005
IEEE
14 years 5 months ago
2005
IEEE
We consider online learning where the target concept can change over time. Previous work on expert prediction algorithms has bounded the worst-case performance on any subsequence ...
NN
2006
Springer
13 years 4 months ago
2006
Springer
The paper deals with the concept of relevance learning in learning vector quantization and classification. Recent machine learning approaches with the ability of metric adaptation...
ML
2011
ACM
12 years 11 months ago
2011
ACM
In the last decade, connectionist models have been proposed that can process structured information directly. These methods, which are based on the use of graphs for the representa...
ICONIP
1998
13 years 6 months ago
1998
This paper presents a method to induce relational concepts with neural networks using the inductive logic programming system LINUS. Some first-order inductive learning tasks taken...