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» Sampling Methods for Unsupervised Learning
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ICML
2006
IEEE
15 years 12 months ago
Practical solutions to the problem of diagonal dominance in kernel document clustering
In supervised kernel methods, it has been observed that the performance of the SVM classifier is poor in cases where the diagonal entries of the Gram matrix are large relative to ...
Derek Greene, Padraig Cunningham
80
Voted
WWW
2004
ACM
15 years 11 months ago
Unsupervised learning of soft patterns for generating definitions from online news
Breaking news often contains timely definitions and descriptions of current terms, organizations and personalities. We utilize such web sources to construct definitions for such t...
Hang Cui, Min-Yen Kan, Tat-Seng Chua
SDM
2007
SIAM
187views Data Mining» more  SDM 2007»
15 years 14 days ago
Topic Models over Text Streams: A Study of Batch and Online Unsupervised Learning
Topic modeling techniques have widespread use in text data mining applications. Some applications use batch models, which perform clustering on the document collection in aggregat...
Arindam Banerjee, Sugato Basu
90
Voted
IDA
2002
Springer
14 years 10 months ago
Evolutionary model selection in unsupervised learning
Feature subset selection is important not only for the insight gained from determining relevant modeling variables but also for the improved understandability, scalability, and pos...
YongSeog Kim, W. Nick Street, Filippo Menczer
GECCO
2005
Springer
156views Optimization» more  GECCO 2005»
15 years 4 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