876 search results - page 132 / 176 » On a theory of learning with similarity functions |
GECCO
2007
Springer
13 years 11 months ago
2007
Springer
Recently, evolutionary computation has been successfully integrated into statistical learning methods. A Support Vector Machine (SVM) using evolution strategies for its optimizati...
GECCO
2008
Springer
13 years 8 months ago
2008
Springer
While John Holland has always envisioned learning classifier systems (LCSs) as cognitive systems, most work on LCSs has focused on classification, datamining, and function appro...
SIGIR
2006
ACM
14 years 1 months ago
2006
ACM
The paper is concerned with applying learning to rank to document retrieval. Ranking SVM is a typical method of learning to rank. We point out that there are two factors one must ...
EUROCOLT
1997
Springer
13 years 12 months ago
1997
Springer
Most of the work on the Vapnik-Chervonenkis dimension of neural networks has been focused on feedforward networks. However, recurrent networks are also widely used in learning app...
ML
2008
ACM
13 years 7 months ago
2008
ACM
Let f be a function on Rd that is monotonic in every variable. There are 2d possible assignments to the directions of monotonicity (two per variable). We provide sufficient condit...