2440 search results - page 46 / 488 » Abstraction Learning |
ASPDAC
2005
ACM
14 years 1 months ago
2005
ACM
Abstract— Learning is an essential pruning technique in modern SAT solvers, but it exploits a relatively small amount of information that can be deduced from the conflicts. Rece...
AAAI
1998
13 years 9 months ago
1998
A key problem in text summarization is finding a salience function which determines what information in the source should be included in the summary. This paper describes the use ...
TNN
2008
13 years 7 months ago
2008
Abstract--This comment letter points out that the essence of the "extreme learning machine (ELM)" recently appeared has been proposed earlier by Broomhead and Lowe and Pa...
ECML
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. Ensemble learning is a powerful learning approach that combines multiple classifiers to improve prediction accuracy. An important decision while using an ensemble of cla...
IJCNN
2008
IEEE
14 years 2 months ago
2008
IEEE
Abstract— Almost all learning machines used in computational intelligence are not regular but singular statistical models, because they are nonidentifiable and their Fisher info...