1662 search results - page 95 / 333 » Characterizing the generalization performance of model selec... |
219
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ICML
2000
IEEE
16 years 7 months ago
2000
IEEE
Algorithms for feature selection fall into two broad categories: wrappers that use the learning algorithm itself to evaluate the usefulness of features and filters that evaluate f...
167
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GECCO
2006
Springer
15 years 10 months ago
2006
Springer
Estimation of Distribution Algorithms (EDAs) are a class of evolutionary algorithms that use machine learning techniques to solve optimization problems. Machine learning is used t...
158
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PKDD
2009
Springer
16 years 25 days ago
2009
Springer
A frequent problem in density level-set estimation is the choice of the right features that give rise to compact and concise representations of the observed data. We present an eï¬...
176
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EMNLP
2010
15 years 4 months ago
2010
In this paper we develop an approach to tackle the problem of verb selection for learners of English as a second language (ESL) by using features from the output of Semantic Role ...
166
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GLVLSI
2007
IEEE
15 years 8 months ago
2007
IEEE
We present a vector selection methodology for estimating the peak power dissipation in a CMOS logic circuit. The ultimate goal is to combine the speed of RT-level simulation with ...