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» Data selection for support vector machine classifiers
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ICWSM
2009
14 years 7 months ago
Targeting Sentiment Expressions through Supervised Ranking of Linguistic Configurations
User generated content is extremely valuable for mining market intelligence because it is unsolicited. We study the problem of analyzing users' sentiment and opinion in their...
Jason S. Kessler, Nicolas Nicolov
CIKM
2007
Springer
15 years 3 months ago
Improving the classification of newsgroup messages through social network analysis
Newsgroup participants interact with their communities through conversation threads. They may respond to a message to answer a question, debate a topic, support or disagree with a...
Blaz Fortuna, Eduarda Mendes Rodrigues, Natasa Mil...
FLAIRS
2004
14 years 11 months ago
A Method Based on RBF-DDA Neural Networks for Improving Novelty Detection in Time Series
Novelty detection in time series is an important problem with application in different domains such as machine failure detection, fraud detection and auditing. An approach to this...
Adriano L. I. Oliveira, Fernando Buarque de Lima N...
IUI
2010
ACM
15 years 4 months ago
Automatically identifying targets users interact with during real world tasks
Information about the location and size of the targets that users interact with in real world settings can enable new innovations in human performance assessment and software usab...
Amy Hurst, Scott E. Hudson, Jennifer Mankoff
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IPPS
1997
IEEE
15 years 1 months ago
Enhancing Software DSM for Compiler-Parallelized Applications
Current parallelizing compilers for message-passing machines only support a limited class of data-parallel applications. One method for eliminating this restriction is to combine ...
Peter J. Keleher, Chau-Wen Tseng