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» Combinations of Weak Classifiers
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KDD
2002
ACM
170views Data Mining» more  KDD 2002»
16 years 4 months ago
Web site mining: a new way to spot competitors, customers and suppliers in the world wide web
When automatically extracting information from the world wide web, most established methods focus on spotting single HTMLdocuments. However, the problem of spotting complete web s...
Martin Ester, Hans-Peter Kriegel, Matthias Schuber...
BMCBI
2007
178views more  BMCBI 2007»
15 years 4 months ago
SVM clustering
Background: Support Vector Machines (SVMs) provide a powerful method for classification (supervised learning). Use of SVMs for clustering (unsupervised learning) is now being cons...
Stephen Winters-Hilt, Sam Merat
COLCOM
2005
IEEE
15 years 10 months ago
An experimental evaluation of spam filter performance and robustness against attack
— In this paper, we show experimentally that learning filters are able to classify large corpora of spam and legitimate email messages with a high degree of accuracy. The corpor...
Steve Webb, Subramanyam Chitti, Calton Pu
ICDM
2005
IEEE
217views Data Mining» more  ICDM 2005»
15 years 9 months ago
Improving Automatic Query Classification via Semi-Supervised Learning
Accurate topical classification of user queries allows for increased effectiveness and efficiency in general-purpose web search systems. Such classification becomes critical if th...
Steven M. Beitzel, Eric C. Jensen, Ophir Frieder, ...
GECCO
2006
Springer
180views Optimization» more  GECCO 2006»
15 years 8 months ago
Improving cooperative GP ensemble with clustering and pruning for pattern classification
A boosting algorithm based on cellular genetic programming to build an ensemble of predictors is proposed. The method evolves a population of trees for a fixed number of rounds an...
Gianluigi Folino, Clara Pizzuti, Giandomenico Spez...