Sciweavers

1227 search results - page 34 / 246
» Learning Rates for Q-Learning
Sort
View
INCDM
2010
Springer
159views Data Mining» more  INCDM 2010»
15 years 2 months ago
Semi-supervised Learning for False Alarm Reduction
Abstract. Intrusion Detection Systems (IDSs) which have been deployed in computer networks to detect a wide variety of attacks are suffering how to manage of a large number of tri...
Chien-Yi Chiu, Yuh-Jye Lee, Chien-Chung Chang, Wen...
GLOBECOM
2008
IEEE
15 years 4 months ago
A Supervised Learning Approach to Adaptation in Practical MIMO-OFDM Wireless Systems
—MIMO-OFDM wireless systems require adaptive modulation and coding based on channel state information (CSI) to maximize throughput in changing wireless channels. Traditional adap...
Robert C. Daniels, Constantine Caramanis, Robert W...
CIG
2005
IEEE
15 years 3 months ago
Further Evolution of a Self-Learning Chess Program
Previous research on the use of coevolution to improve a baseline chess program demonstrated a performance rating of 2550 against Pocket Fritz 2.0 (PF2). A series of 12 games (6 wh...
David B. Fogel, Timothy J. Hays, Sarah L. Hahn, Ja...
FOCM
2006
65views more  FOCM 2006»
14 years 9 months ago
Approximation Methods for Supervised Learning
Let be an unknown Borel measure defined on the space Z := X
Ronald A. DeVore, Gerard Kerkyacharian, Dominique ...
AIM
2004
14 years 9 months ago
Using Machine Learning to Design and Interpret Gene-Expression Microarrays
Gene-expression microarrays, commonly called "gene chips," make it possible to simultaneously measure the rate at which a cell or tissue is expressing
Michael Molla, Michael Waddell, David Page, Jude W...