134 search results - page 11 / 27 » Mining emerging patterns by streaming feature selection |
ALGORITHMICA
2006
13 years 7 months ago
2006
Classification is a key problem in machine learning/data mining. Algorithms for classification have the ability to predict the class of a new instance after having been trained on...
GECCO
2004
Springer
14 years 28 days ago
2004
Springer
Abstract. The authors present a GA optimization technique for cosinebased k-nearest neighbors classification that improves predictive accuracy in a class-balanced manner while sim...
HAIS
2009
Springer
14 years 4 days ago
2009
Springer
Developing models and methods to manage data vagueness is a current effervescent research field. Some work has been done with supervised problems but unsupervised problems and unce...
KDD
2010
ACM
13 years 11 months ago
2010
ACM
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
CIDM
2007
IEEE
14 years 1 months ago
2007
IEEE
— In recent applications of clustering such as gene expression microarray analysis, collaborative filtering, and web mining, object similarity is no longer measured by physical ...