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» Discovering Interesting Subsets Using Statistical Analysis
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SMC
2010
IEEE
186views Control Systems» more  SMC 2010»
13 years 8 months ago
Semantic enrichment of text representation with wikipedia for text classification
—Text classification is a widely studied topic in the area of machine learning. A number of techniques have been developed to represent and classify text documents. Most of the t...
Hiroki Yamakawa, Jing Peng, Anna Feldman
INFOVIS
2002
IEEE
14 years 2 months ago
Visualizing Data with Bounded Uncertainty
Visualization is a powerful way to facilitate data analysis, but it is crucial that visualization systems explicitly convey the presence, nature, and degree of uncertainty to user...
Chris Olston, Jock D. Mackinlay
CIKM
2008
Springer
13 years 12 months ago
Modeling hidden topics on document manifold
Topic modeling has been a key problem for document analysis. One of the canonical approaches for topic modeling is Probabilistic Latent Semantic Indexing, which maximizes the join...
Deng Cai, Qiaozhu Mei, Jiawei Han, Chengxiang Zhai
ALMOB
2007
73views more  ALMOB 2007»
13 years 10 months ago
GOGOT: a method for the identification of differentially expressed fragments from cDNA-AFLP data
Background: One-dimensional (1-D) electrophoretic data obtained using the cDNA-AFLP method have attracted great interest for the identification of differentially expressed transcr...
Koji Kadota, Ryoko Araki, Yuji Nakai, Masumi Abe
NIPS
2007
13 years 11 months ago
A New View of Automatic Relevance Determination
Automatic relevance determination (ARD) and the closely-related sparse Bayesian learning (SBL) framework are effective tools for pruning large numbers of irrelevant features leadi...
David P. Wipf, Srikantan S. Nagarajan