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GECCO
2005
Springer
156views Optimization» more  GECCO 2005»
15 years 10 months ago
Extraction of informative genes from microarray data
Identification of those genes that might anticipate the clinical behavior of different types of cancers is challenging due to availability of a smaller number of patient samples...
Topon Kumar Paul, Hitoshi Iba
LOCA
2007
Springer
15 years 10 months ago
Inferring the Everyday Task Capabilities of Locations
Abstract. People rapidly learn the capabilities of a new location, without observing every service and product. Instead they map a few observations to familiar clusters of capabili...
Patricia Shanahan, William G. Griswold
KDD
2004
ACM
132views Data Mining» more  KDD 2004»
16 years 4 months ago
A probabilistic framework for semi-supervised clustering
Unsupervised clustering can be significantly improved using supervision in the form of pairwise constraints, i.e., pairs of instances labeled as belonging to same or different clu...
Sugato Basu, Mikhail Bilenko, Raymond J. Mooney
CORR
2010
Springer
193views Education» more  CORR 2010»
15 years 3 months ago
A Probabilistic Approach for Learning Folksonomies from Structured Data
Learning structured representations has emerged as an important problem in many domains, including document and Web data mining, bioinformatics, and image analysis. One approach t...
Anon Plangprasopchok, Kristina Lerman, Lise Getoor
EGPGV
2004
Springer
175views Visualization» more  EGPGV 2004»
15 years 9 months ago
Interactive Parallel Visualization of Large Particle Datasets
This paper presents a new interactive parallel method for direct visualization of large particle datasets. Based on a parallel rendering cluster, a frame rate of 9 frames-per-seco...
Kevin Liang, Patricia Monger, Huge Couchman