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PKDD
2009
Springer
148views Data Mining» more  PKDD 2009»
16 years 21 days ago
Feature Selection by Transfer Learning with Linear Regularized Models
Abstract. This paper presents a novel feature selection method for classification of high dimensional data, such as those produced by microarrays. It includes a partial supervisio...
Thibault Helleputte, Pierre Dupont
PKDD
2009
Springer
134views Data Mining» more  PKDD 2009»
16 years 21 days ago
Multi-task Feature Selection Using the Multiple Inclusion Criterion (MIC)
Abstract. We address the problem of joint feature selection in multiple related classification or regression tasks. When doing feature selection with multiple tasks, usually one c...
Paramveer S. Dhillon, Brian Tomasik, Dean P. Foste...
GLOBECOM
2007
IEEE
16 years 15 days ago
Relay Selection for Low-Complexity Coded Cooperation
— This paper explores relay selection and selection diversity for coded cooperation in wireless sensor networks, with complexity constraints for the sensor nodes. In previous wor...
Josephine P. K. Chu, Raviraj S. Adve, Andrew W. Ec...
WABI
2007
Springer
109views Bioinformatics» more  WABI 2007»
16 years 8 days ago
Two Birds, One Stone: Selecting Functionally Informative Tag SNPs for Disease Association Studies
Selecting an informative subset of SNPs, generally referred to as tag SNPs, to genotype and analyze is considered to be an essential step toward effective disease association studi...
Phil Hyoun Lee, Hagit Shatkay
GECCO
2005
Springer
158views Optimization» more  GECCO 2005»
15 years 11 months ago
Applying both positive and negative selection to supervised learning for anomaly detection
This paper presents a novel approach of applying both positive selection and negative selection to supervised learning for anomaly detection. It first learns the patterns of the n...
Xiaoshu Hang, Honghua Dai