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» Unsupervised Feature Selection Using Feature Similarity
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ICASSP
2008
IEEE
15 years 8 months ago
Robust speaker identification using combined feature selection and missing data recognition
Missing data techniques have been recently applied to speaker recognition to increase performance in noisy environments. The drawback of these techniques is the vulnerability of t...
Daniel Pullella, Marco Kühne, Roberto Togneri
TCBB
2010
176views more  TCBB 2010»
15 years 19 days ago
Feature Selection for Gene Expression Using Model-Based Entropy
—Gene expression data usually contain a large number of genes, but a small number of samples. Feature selection for gene expression data aims at finding a set of genes that best...
Shenghuo Zhu, Dingding Wang, Kai Yu, Tao Li, Yihon...
ICML
2010
IEEE
15 years 3 months ago
Feature Selection Using Regularization in Approximate Linear Programs for Markov Decision Processes
Approximate dynamic programming has been used successfully in a large variety of domains, but it relies on a small set of provided approximation features to calculate solutions re...
Marek Petrik, Gavin Taylor, Ronald Parr, Shlomo Zi...
ACL
2010
15 years 9 days ago
Using Parse Features for Preposition Selection and Error Detection
We evaluate the effect of adding parse features to a leading model of preposition usage. Results show a significant improvement in the preposition selection task on native speaker...
Joel R. Tetreault, Jennifer Foster, Martin Chodoro...
CATE
2004
133views Education» more  CATE 2004»
15 years 3 months ago
Semi-Automatic Evaluation Features in Computer-assisted Essay Assessment
The role of assessment and evaluation has recently changed in a way which will have fundamental consequences in applying information and communication technologies (ICTs) to analy...
Tuomo Kakkonen, Niko Myller, Erkki Sutinen