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CVPR
2008
IEEE
16 years 8 months ago
Mining compositional features for boosting
The selection of weak classifiers is critical to the success of boosting techniques. Poor weak classifiers do not perform better than random guess, thus cannot help decrease the t...
Junsong Yuan, Jiebo Luo, Ying Wu
WWW
2008
ACM
16 years 7 months ago
Learning to classify short and sparse text & web with hidden topics from large-scale data collections
This paper presents a general framework for building classifiers that deal with short and sparse text & Web segments by making the most of hidden topics discovered from larges...
Xuan Hieu Phan, Minh Le Nguyen, Susumu Horiguchi
WWW
2008
ACM
16 years 7 months ago
Mining, indexing, and searching for textual chemical molecule information on the web
Current search engines do not support user searches for chemical entities (chemical names and formulae) beyond simple keyword searches. Usually a chemical molecule can be represen...
Bingjun Sun, Prasenjit Mitra, C. Lee Giles
CHI
2009
ACM
16 years 7 months ago
Undo and erase events as indicators of usability problems
One approach to reducing the costs of usability testing is to facilitate the automatic detection of critical incidents: serious breakdowns in interaction that stand out during sof...
David Akers, Matthew Simpson, Robin Jeffries, Terr...
KDD
2004
ACM
136views Data Mining» more  KDD 2004»
16 years 7 months ago
A cross-collection mixture model for comparative text mining
In this paper, we define and study a novel text mining problem, which we refer to as Comparative Text Mining (CTM). Given a set of comparable text collections, the task of compara...
ChengXiang Zhai, Atulya Velivelli, Bei Yu