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CSIE
2009
IEEE
15 years 6 months ago
Building a General Purpose Cross-Domain Sentiment Mining Model
Building a model using machine learning that can classify the sentiment of natural language text often requires an extensive set of labeled training data from the same domain as t...
Matthew Whitehead, Larry Yaeger
IPM
2008
114views more  IPM 2008»
14 years 12 months ago
User-assisted query translation for interactive cross-language information retrieval
Interactive Cross-Language Information Retrieval (CLIR), a process in which searcher and system collaborate to find documents that satisfy an information need regardless of the la...
Douglas W. Oard, Daqing He, Jianqiang Wang
SIGSOFT
2010
ACM
14 years 9 months ago
Software is data too
Software systems are designed and engineered to process data. However, software is data too. The size and variety of today's software artifacts and the multitude of stakehold...
Andrian Marcus, Tim Menzies
CORR
2011
Springer
127views Education» more  CORR 2011»
14 years 3 months ago
Generalized Boosting Algorithms for Convex Optimization
Boosting is a popular way to derive powerful learners from simpler hypothesis classes. Following previous work (Mason et al., 1999; Friedman, 2000) on general boosting frameworks,...
Alexander Grubb, J. Andrew Bagnell
ICCV
2009
IEEE
16 years 4 months ago
Efficient subset selection based on the Renyi entropy
Many machine learning algorithms require the summation of Gaussian kernel functions, an expensive operation if implemented straightforwardly. Several methods have been proposed t...
Vlad I. Morariu1, Balaji V. Srinivasan, Vikas C. R...