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» Predicting non-stationary processes
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WSC
2007
15 years 8 months ago
A discrete event model of clinical trial enrollment at Eli Lilly and company
Clinical trials constitute large, complex, and resource intensive activities for pharmaceutical companies. Accurate prediction of patient enrollment would represent a major step f...
Bernard M. McGarvey, Nancy J. Dynes, Burch C. Lin,...
172
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ICASSP
2011
IEEE
14 years 10 months ago
Blind extraction of improper quaternion sources
Blind extraction of quaternion-valued latent sources is addressed based on their local temporal properties. The extraction criterion is based on the minimum mean square widely lin...
Soroush Javidi, Clive Cheong Took, Cyrus Jahanchah...
ICASSP
2011
IEEE
14 years 10 months ago
A segment-level confidence measure for Spoken Document Retrieval
This paper presents a semantic confidence measure that aims to predict the relevance of automatic transcripts for a task of Spoken Document Retrieval (SDR). The proposed predicti...
Grégory Senay, Georges Linares, Benjamin Le...
KDD
2012
ACM
178views Data Mining» more  KDD 2012»
13 years 9 months ago
Mining emerging patterns by streaming feature selection
Building an accurate emerging pattern classifier with a highdimensional dataset is a challenging issue. The problem becomes even more difficult if the whole feature space is unava...
Kui Yu, Wei Ding 0003, Dan A. Simovici, Xindong Wu
184
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BMCBI
2010
127views more  BMCBI 2010»
15 years 6 months ago
SplicerAV: a tool for mining microarray expression data for changes in RNA processing
Background: Over the past two decades more than fifty thousand unique clinical and biological samples have been assayed using the Affymetrix HG-U133 and HG-U95 GeneChip microarray...
Timothy J. Robinson, Michaela A. Dinan, Mark Dewhi...