53 search results - page 2 / 11 » Experimental Evaluation of Discretization Schemes for Rule I... |
MLDM
2005
Springer
13 years 10 months ago
2005
Springer
Abstract. In supervised learning, discretization of the continuous explanatory attributes enhances the accuracy of decision tree induction algorithms and naive Bayes classifier. M...
AAAI
1994
13 years 6 months ago
1994
A new inductive learning system, Lab Learning for ABduction, is presented which acquires abductive rules from a set of training examples. The goal is to nd a small knowledge base ...
TNN
1998
13 years 5 months ago
1998
—Recurrent neural networks processing symbolic strings can be regarded as adaptive neural parsers. Given a set of positive and negative examples, picked up from a given language,...
ISCI
2008
13 years 5 months ago
2008
Discretization algorithms have played an important role in data mining and knowledge discovery. They not only produce a concise summarization of continuous attributes to help the ...
ILP
2005
Springer
13 years 10 months ago
2005
Springer
We propose a new approach to Inductive Logic Programming that systematically exploits caching and offers a number of advantages over current systems. It avoids redundant computati...