3467 search results - page 142 / 694 » Streamwise Feature Selection |
130
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MICCAI
2010
Springer
15 years 1 months ago
2010
Springer
Abstract. We apply sparse Bayesian learning methods, automatic relevance determination (ARD) and predictive ARD (PARD), to Alzheimer’s disease (AD) classification to make accura...
111
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EMNLP
2010
15 years 28 days ago
2010
We introduce tiered clustering, a mixture model capable of accounting for varying degrees of shared (context-independent) feature structure, and demonstrate its applicability to i...
111
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ICIP
2000
IEEE
16 years 4 months ago
2000
IEEE
In many Earth observation missions, a large amount of data is collected by the on-board sensors, and must be transmitted to ground through a channel with limited capacity; in this...
117
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ICMCS
2009
IEEE
15 years 20 days ago
2009
IEEE
The human voice is primarily a carrier of speech, but it also contains non-linguistic features unique to a speaker and indicative of various speaker demographics, e.g. gender, nat...
114
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KDD
2003
ACM
16 years 3 months ago
2003
ACM
High-dimensional data poses a severe challenge for data mining. Feature selection is a frequently used technique in preprocessing high-dimensional data for successful data mining....