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ICPR
2000
IEEE
14 years 2 months ago
A Theoretical Framework for Dynamic Classifier Selection
At present, the common operation mechanism of multiple classifier systems is the combination of classifier outputs. Recently, some researchers pointed out the potentialities of â€...
Giorgio Giacinto, Fabio Roli
GECCO
2006
Springer
447views Optimization» more  GECCO 2006»
14 years 1 months ago
Candlestick stock analysis with genetic algorithms
Candlestick analysis, a form of stock market technical analysis, is well suited for use with a genetic search algorithm. This paper explores an implementation of marrying these tw...
Peter Belford
NAACL
2007
13 years 11 months ago
Comparing User Simulation Models For Dialog Strategy Learning
This paper explores what kind of user simulation model is suitable for developing a training corpus for using Markov Decision Processes (MDPs) to automatically learn dialog strate...
Hua Ai, Joel R. Tetreault, Diane J. Litman
WSC
1998
13 years 11 months ago
Identifying Important Factors in Deterministic Investment Problems Using Design of Experiments
For large investment projects sensitivity analysis is an important tool to determine which factors need further analysis and/or can jeopardize the future of a project. In practice...
Willem J. H. Van Groenendaal, Jack P. C. Kleijnen
WSC
1997
13 years 11 months ago
It is a Far, Far Better Mean I Find...
An important problem often faced by simulation analysts is that of choosing (or selecting) one of several potential system designs. This can be accomplished by comparing output fr...
Susan M. Sanchez