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BIRD
2008
Springer
110views Bioinformatics» more  BIRD 2008»
14 years 21 hour ago
SVM-Based Local Search for Gene Selection and Classification of Microarray Data
Abstract. This paper presents a SVM-based local search (SVM-LS) approach to the problem of gene selection and classification of microarray data. The proposed approach is highlighte...
Jose Crispin Hernandez Hernandez, Béatrice ...
DEDS
2002
86views more  DEDS 2002»
13 years 9 months ago
On an Optimization Problem in Sensor Selection*
We address the following sensor selection problem. We assume that a dynamic system possesses a certain property, call it Property D, when a set G of sensors is used. There is a cos...
Rami Debouk, Stéphane Lafortune, Demostheni...
ACSC
2005
IEEE
14 years 3 months ago
The Electronic Primaries: Predicting the U.S. Presidency Using Feature Selection with Safe Data Reduction
The data mining inspired problem of finding the critical, and most useful features to be used to classify a data set, and construct rules to predict the class of future examples ...
Pablo Moscato, Luke Mathieson, Alexandre Mendes, R...
WMPI
2004
ACM
14 years 3 months ago
Selective main memory compression by identifying program phase changes
During a program’s runtime, the stack and data segments of the main memory often contain much redundancy, which makes them good candidates for compression. Compression and decomp...
Doron Nakar, Shlomo Weiss
TKDE
2008
197views more  TKDE 2008»
13 years 10 months ago
Agglomerative Fuzzy K-Means Clustering Algorithm with Selection of Number of Clusters
In this paper, we present an agglomerative fuzzy K-Means clustering algorithm for numerical data, an extension to the standard fuzzy K-Means algorithm by introducing a penalty term...
Mark Junjie Li, Michael K. Ng, Yiu-ming Cheung, Jo...