594 search results - page 14 / 119 » Feature Selection for Value Function Approximation Using Bay... |
TREC
2004
13 years 9 months ago
2004
We approached the problem of classifying papers for the TREC 2004 Genomics Track triage task as a four step process: feature generation, feature selection, classifier training, an...
DMIN
2009
13 years 5 months ago
2009
Typical methods in CRM marketing include action selection on the basis of Markov Decision Processes with fixed transition probabilities on the one hand, and scoring customers separ...
ICANN
2007
Springer
14 years 1 months ago
2007
Springer
Input selection in the nonlinear function approximation is important and difficult problem. Neural networks provide good generalization in many cases, but their interpretability is...
ISNN
2005
Springer
14 years 1 months ago
2005
Springer
Current Intrusion Detection Systems (IDS) examine all data features to detect intrusion or misuse patterns. Some of the features may be redundant or contribute little (if anything)...
WSC
1997
13 years 9 months ago
1997
The problem of selecting the best system from a finite set of alternatives is considered from a Bayesian decision-theoretic perspective. The framework presented is quite general,...