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ICPR
2000
IEEE
16 years 5 months ago
Data Condensation in Large Databases by Incremental Learning with Support Vector Machines
An algorithmfor data condensation using support vector machines (SVM's)is presented. The algorithm extracts datapoints lying close to the class boundaries,whichform a much re...
Pabitra Mitra, C. A. Murthy, Sankar K. Pal
144
Voted
MACE
2009
Springer
230views Communications» more  MACE 2009»
15 years 11 months ago
Combining Learned and Highly-Reactive Management
Learned models of behavior have the disadvantage that they must be retrained after any change in system configuration. Autonomic management methods based upon learned models lose ...
Alva L. Couch, Marc Chiarini
ICANN
2007
Springer
15 years 8 months ago
A Cognitive Model That Describes the Influence of Prior Knowledge on Concept Learning
It is well known that our prior knowledge and experiences affect how we learn new concepts. Although several formal modeling attempts have been made to quantitatively describe the ...
Toshihiko Matsuka, Yasuaki Sakamoto
121
Voted
ACL
1998
15 years 6 months ago
Experiments with Learning Parsing Heuristics
Any large language processing software relies in its operation on heuristic decisions concerning the strategy of processing. These decisions are usually "hard-wired" int...
Sylvain Delisle, Sylvain Létourneau, Stan M...
153
Voted
IIE
2007
91views more  IIE 2007»
15 years 4 months ago
New Media and Open and Distance Learning: New challenges for Education in a Knowledge Society
The “digital society” provides not only with new technology, but also with new concepts. Information plays a central role and becomes a valuable good, but knowledge cannot be r...
Bernard Cornu