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FLAIRS
2008
15 years 3 months ago
Selecting Minority Examples from Misclassified Data for Over-Sampling
We introduce a method to deal with the problem of learning from imbalanced data sets, where examples of one class significantly outnumber examples of other classes. Our method sel...
Jorge de la Calleja, Olac Fuentes, Jesús Go...
78
Voted
AISS
2010
137views more  AISS 2010»
14 years 10 months ago
Mathematical Multi-objective Model for the selection of a portfolio of investment in the Mexican Stock Market
A mathematical multi objective model for the selection of a portfolio of investment is presented and its application in the Mexican Stock Exchange (BMV). The multi objective model...
José Crispín Zavala Díaz, Mar...
112
Voted
ACL
2012
13 years 3 months ago
Joint Feature Selection in Distributed Stochastic Learning for Large-Scale Discriminative Training in SMT
With a few exceptions, discriminative training in statistical machine translation (SMT) has been content with tuning weights for large feature sets on small development data. Evid...
Patrick Simianer, Stefan Riezler, Chris Dyer
ICASSP
2009
IEEE
15 years 7 months ago
Speaker recognition using syllable-based constraints for cepstral frame selection
We describe a new GMM-UBM speaker recognition system that uses standard cepstral features, but selects different frames of speech for different subsystems. Subsystems, or “const...
Tobias Bocklet, Elizabeth Shriberg
83
Voted
WEBI
2009
Springer
15 years 7 months ago
Specialized Review Selection for Feature Rating Estimation
—On participatory Websites, users provide opinions about products, with both overall ratings and textual reviews. In this paper, we propose an approach to accurately estimate fea...
Chong Long, Jie Zhang, Minlie Huang, Xiaoyan Zhu, ...