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» On learning algorithm selection for classification
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KAIS
2008
165views more  KAIS 2008»
15 years 2 months ago
Multirelational classification: a multiple view approach
Multirelational classification aims at discovering useful patterns across multiple inter-connected tables (relations) in a relational database. Many traditional learning techniques...
Hongyu Guo, Herna L. Viktor
ICPR
2004
IEEE
16 years 3 months ago
Large Scale Feature Selection Using Modified Random Mutation Hill Climbing
Feature selection is a critical component of many pattern recognition applications. There are two distinct mechanisms for feature selection, namely the wrapper method and the filt...
Anil K. Jain, Michael E. Farmer, Shweta Bapna
COLT
2008
Springer
15 years 4 months ago
An Efficient Reduction of Ranking to Classification
This paper describes an efficient reduction of the learning problem of ranking to binary classification. The reduction guarantees an average pairwise misranking regret of at most t...
Nir Ailon, Mehryar Mohri
ICONIP
2004
15 years 3 months ago
Hybrid Feature Selection for Modeling Intrusion Detection Systems
Most of the 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 (...
Srilatha Chebrolu, Ajith Abraham, Johnson P. Thoma...
ICMLA
2008
15 years 3 months ago
Text Classification Using Tree Kernels and Linguistic Information
Standard Machine Learning approaches to text classification use the bag-of-words representation of documents to deceive the classification target function. Typical linguistic stru...
Teresa Gonçalves, Paulo Quaresma