877 search results - page 38 / 176 » Selection of Subsets of Ordered Features in Machine Learning |
124
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ICML
2004
IEEE
16 years 4 months ago
2004
IEEE
Feature selection is the task of choosing a small set out of a given set of features that capture the relevant properties of the data. In the context of supervised classification ...
112
Voted
INLG
2010
Springer
15 years 1 months ago
2010
Springer
16:30 Generating and Validating Abstracts of Meeting Conversations: a User Study. Gabriel Murray, Giuseppe Carenini and Raymond Ng 16:30 - 16:45 Break Session 3: Sentence Level Gen...
151
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ICML
2010
IEEE
15 years 4 months ago
2010
IEEE
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...
161
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JMLR
2011
14 years 10 months ago
2011
We propose a framework MIC (Multiple Inclusion Criterion) for learning sparse models based on the information theoretic Minimum Description Length (MDL) principle. MIC provides an...
127
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ICAPR
2009
Springer
15 years 10 months ago
2009
Springer
— Feature selection and ensemble classification increase system efficiency and accuracy in machine learning, data mining and biomedical informatics. This research presents an ana...