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» Data Mining for Genetics: A Genetic Algorithm Approach
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WSDM
2012
ACM
334views Data Mining» more  WSDM 2012»
13 years 7 months ago
mTrust: discerning multi-faceted trust in a connected world
Traditionally, research about trust assumes a single type of trust between users. However, trust, as a social concept, inherently has many facets indicating multiple and heterogen...
Jiliang Tang, Huiji Gao, Huan Liu
ICCV
2011
IEEE
13 years 12 months ago
iGroup : Weakly supervised image and video grouping
We present a generic, efficient and iterative algorithm for interactively clustering classes of images and videos. The approach moves away from the use of large hand labelled tra...
Andrew Gilbert, Richard Bowden
KDD
2001
ACM
145views Data Mining» more  KDD 2001»
16 years 6 days ago
Proximal support vector machine classifiers
Given a dataset, each element of which labeled by one of k labels, we construct by a very fast algorithm, a k-category proximal support vector machine (PSVM) classifier. Proximal s...
Glenn Fung, Olvi L. Mangasarian
WABI
2009
Springer
124views Bioinformatics» more  WABI 2009»
15 years 6 months ago
Mimosa: Mixture Model of Co-expression to Detect Modulators of Regulatory Interaction
Background: Functionally related genes tend to be correlated in their expression patterns across multiple conditions and/or tissue-types. Thus co-expression networks are often use...
Matthew Hansen, Logan Everett, Larry Singh, Sridha...
CIKM
2008
Springer
15 years 1 months ago
Learning a two-stage SVM/CRF sequence classifier
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
Guilherme Hoefel, Charles Elkan