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BMCBI
2007
173views more  BMCBI 2007»
13 years 4 months ago
Recursive Cluster Elimination (RCE) for classification and feature selection from gene expression data
Background: Classification studies using gene expression datasets are usually based on small numbers of samples and tens of thousands of genes. The selection of those genes that a...
Malik Yousef, Segun Jung, Louise C. Showe, Michael...
ISCA
1999
IEEE
90views Hardware» more  ISCA 1999»
13 years 9 months ago
Effective Jump-Pointer Prefetching for Linked Data Structures
Current techniques for prefetching linked data structures (LDS) exploit the work available in one loop iteration or recursive call to overlap pointer chasing latency. Jumppointers...
Amir Roth, Gurindar S. Sohi
IANDC
2007
151views more  IANDC 2007»
13 years 4 months ago
Transducer-based analysis of cryptographic protocols
Cryptographic protocols can be divided into (1) protocols where the protocol steps are simple from a computational point of view and can thus be modeled by simple means, for insta...
Ralf Küsters, Thomas Wilke
IEAAIE
2004
Springer
13 years 10 months ago
Iterative Semi-supervised Learning: Helping the User to Find the Right Records
This paper proposes extending semi-supervised learning by allowing an ongoing interaction between a user and the system. The extension is intended to not only to speed up search fo...
Chris Drummond
ICPR
2006
IEEE
14 years 6 months ago
Feature selection for linear support vector machines
Feature selection is attracted much interest from researchers in many fields such as pattern recognition and data mining. In this paper, a novel algorithm for feature selection is...
Zhizheng Liang, Tuo Zhao