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» A new Informative Generic Base of Association Rules
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CANDC
2005
ACM
13 years 7 months ago
MSAID: multiple sequence alignment based on a measure of information discrepancy
We propose an algorithm of global multiple sequence alignment that is based on a measure of what we call information discrepancy. The algorithm follows a progressive alignment ite...
Min Zhang, Weiwu Fang, Junhua Zhang, Zhongxian Chi
BMCBI
2005
157views more  BMCBI 2005»
13 years 7 months ago
Statistical Viewer: a tool to upload and integrate linkage and association data as plots displayed within the Ensembl genome bro
Background: To facilitate efficient selection and the prioritization of candidate complex disease susceptibility genes for association analysis, increasingly comprehensive annotat...
Judith E. Stenger, Hong Xu, Carol Haynes, Elizabet...
INFOCOM
2003
IEEE
14 years 27 days ago
Associative Search in Peer to Peer Networks: Harnessing Latent Semantics
— The success of a P2P file-sharing network highly depends on the scalability and versatility of its search mechanism. Two particularly desirable search features are scope (abil...
Edith Cohen, Amos Fiat, Haim Kaplan
CVPR
2008
IEEE
14 years 9 months ago
Taylor expansion based classifier adaptation: Application to person detection
Because of the large variation across different environments, a generic classifier trained on extensive data-sets may perform sub-optimally in a particular test environment. In th...
Cha Zhang, Raffay Hamid, Zhengyou Zhang
IRI
2006
IEEE
14 years 1 months ago
T2K2: A type II KASER
—The transformational methodology described in this paper induces new knowledge, which may be open under any deductive process. The method of transposition is used to maintain a ...
Stuart Harvey Rubin, Shu-Ching Chen, James B. Law