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AUSAI
2008
Springer
13 years 9 months ago
2008
Springer
Abstract. Bias variance decomposition for classifiers is a useful tool in understanding classifier behavior. Unfortunately, the literature does not provide consistent guidelines on...
AUSAI
2008
Springer
13 years 9 months ago
2008
Springer
The task of finding the optimum of some function f(x) is commonly accomplished by generating and testing sample solutions iteratively, choosing each new sample x heuristically on t...
AUSAI
2008
Springer
13 years 9 months ago
2008
Springer
Learning Classifier System (LCS) is an effective tool to solve classification problems. Clustering with XCS (accuracy-based LCS) is a novel approach proposed recently. In this pape...
AUSAI
2008
Springer
13 years 9 months ago
2008
Springer
Planning collision-free paths for multiple robots traversing a shared space is a problem that grows combinatorially with the number of robots. The naive centralised approach soon ...
AUSAI
2008
Springer
13 years 9 months ago
2008
Springer
Traditional text classification algorithms are based on a basic assumption: the training and test data should hold the same distribution. However, this identical distribution assum...