128 search results - page 14 / 26 » Adapting the Fitness Function in GP for Data Mining |
KDD
2002
ACM
14 years 8 months ago
2002
ACM
This paper presents an approach to automatically optimizing the retrieval quality of search engines using clickthrough data. Intuitively, a good information retrieval system shoul...
SADM
2010
13 years 2 months ago
2010
: The k nearest neighbor classification (k-NN) is a very simple and popular method for classification. However, it suffers from a major drawback, it assumes constant local class po...
SDM
2008
SIAM
13 years 9 months ago
2008
SIAM
Covariate shift is a situation in supervised learning where training and test inputs follow different distributions even though the functional relation remains unchanged. A common...
ESWA
2008
13 years 7 months ago
2008
Clustering is an important function in data mining. Its typical application includes the analysis of consumer's materials. Adaptive resonance theory network (ART) is very pop...
DAWAK
2007
Springer
14 years 1 months ago
2007
Springer
Representative-based clustering algorithms are quite popular due to their relative high speed and because of their sound theoretical foundation. On the other hand, the clusters the...