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BMCBI
2005
121views more  BMCBI 2005»
14 years 9 months ago
Comparison of seven methods for producing Affymetrix expression scores based on False Discovery Rates in disease profiling data
Background: A critical step in processing oligonucleotide microarray data is combining the information in multiple probes to produce a single number that best captures the express...
Kerby Shedden, Wei Chen, Rork Kuick, Debashis Ghos...
TSMC
2008
99views more  TSMC 2008»
14 years 9 months ago
A Context-Dependent Algorithm for Merging Uncertain Information in Possibility Theory
The need to merge multiple sources of uncertain information is an important issue in many application areas, especially when there is potential for contradictions between sources. ...
Anthony Hunter, Weiru Liu
PR
2006
141views more  PR 2006»
14 years 9 months ago
Relaxational metric adaptation and its application to semi-supervised clustering and content-based image retrieval
The performance of many supervised and unsupervised learning algorithms is very sensitive to the choice of an appropriate distance metric. Previous work in metric learning and ada...
Hong Chang, Dit-Yan Yeung, William K. Cheung
IJMMS
2007
145views more  IJMMS 2007»
14 years 9 months ago
Automatic prediction of frustration
Predicting when a person might be frustrated can provide an intelligent system with important information about when to initiate interaction. For example, an automated Learning Co...
Ashish Kapoor, Winslow Burleson, Rosalind W. Picar...
SIGIR
2002
ACM
14 years 9 months ago
Unsupervised document classification using sequential information maximization
We present a novel sequential clustering algorithm which is motivated by the Information Bottleneck (IB) method. In contrast to the agglomerative IB algorithm, the new sequential ...
Noam Slonim, Nir Friedman, Naftali Tishby