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KDD
2004
ACM
302views Data Mining» more  KDD 2004»
14 years 9 months ago
Redundancy based feature selection for microarray data
In gene expression microarray data analysis, selecting a small number of discriminative genes from thousands of genes is an important problem for accurate classification of diseas...
Lei Yu, Huan Liu
ALGORITHMICA
2006
74views more  ALGORITHMICA 2006»
13 years 8 months ago
Parallelizing Feature Selection
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...
Jerffeson Teixeira de Souza, Stan Matwin, Nathalie...
ICPR
2008
IEEE
14 years 3 months ago
On the selection of base prototypes for LAESA and TLAESA classifiers
—The k nearest neighbor (k-NN) classifier has been extensively used as a nonparametric technique in Pattern Recognition. However, in some applications where the training set is l...
Selene Hernández-Rodríguez, Jos&eacu...
AH
2008
Springer
14 years 3 months ago
Locally Adaptive Neighborhood Selection for Collaborative Filtering Recommendations
Abstract. User-to-user similarity is a fundamental component of Collaborative Filtering (CF) recommender systems. In user-to-user similarity the ratings assigned by two users to a ...
Linas Baltrunas, Francesco Ricci
ESTIMEDIA
2006
Springer
14 years 12 days ago
Neighbors-on-Path: A New Selection Strategy for On-Chip Networks
Efficient and deadlock-free routing is critical to the performance of networks-on-chip. In this paper we present an approach that can be coupled to any adaptive routing algorithm ...
Giuseppe Ascia, Vincenzo Catania, Maurizio Palesi,...