Constraint scores for semi-supervised feature selection: A comparative study

No abstract is available for this paper.

• Publication year

  2011

• Venue

  Pattern Recognition Letters

• Publication date

  2011-04-01

• Fields of study

  Mathematics, Computer Science

• Identifiers
  DOI 10.1016/j.patrec.2010.12.014
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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  2008influential reference
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