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» Experimental Design for Variable Selection in Data Bases
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BMCBI
2008
113views more  BMCBI 2008»
14 years 10 months ago
A novel application of quantile regression for identification of biomarkers exemplified by equine cartilage microarray data
Background: Identification of biomarkers among thousands of genes arrayed for disease classification has been the subject of considerable research in recent years. These studies h...
Liping Huang, Wenying Zhu, Christopher P. Saunders...
ISCAS
1999
IEEE
106views Hardware» more  ISCAS 1999»
15 years 2 months ago
Multi-objective design strategy for high-level low power design of DSP systems
High-level power design presents a complex, multiobjective problem that involves the simultaneous optimisation of competing criteria such as speed, area and power. It is difficult...
Mark S. Bright, Tughrul Arslan
PODS
2002
ACM
168views Database» more  PODS 2002»
15 years 10 months ago
Conjunctive Selection Conditions in Main Memory
We consider the fundamental operation of applying a conjunction of selection conditions to a set of records. With large main memories available cheaply, systems may choose to keep...
Kenneth A. Ross
69
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NECO
2007
90views more  NECO 2007»
14 years 9 months ago
Neighborhood Property-Based Pattern Selection for Support Vector Machines
Support Vector Machine (SVM) has been spotlighted in the machine learning community thanks to its theoretical soundness and practical performance. When applied to a large data set...
Hyunjung Shin, Sungzoon Cho
IJCNN
2006
IEEE
15 years 3 months ago
Common Subset Selection of Inputs in Multiresponse Regression
— We propose the Multiresponse Sparse Regression algorithm, an input selection method for the purpose of estimating several response variables. It is a forward selection procedur...
Timo Similä, Jarkko Tikka