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Feature Selection Software to Improve Accuracy and Reduce Cost in Automated Recognition Systems
- 1.0357017 - ÚTIA 2011 RIV FR eng J - Journal Article
Somol, Petr
Feature Selection Software to Improve Accuracy and Reduce Cost in Automated Recognition Systems.
ERCIM News. Roč. 2011, č. 84 (2011), s. 54-54. ISSN 0926-4981. E-ISSN 1564-0094
R&D Projects: GA MŠMT 1M0572
Grant - others:GA MŠk(CZ) 2C06019
Institutional research plan: CEZ:AV0Z10750506
Keywords : feature selection * software library * machine learning
Subject RIV: BD - Theory of Information
http://library.utia.cas.cz/separaty/2011/RO/somol-feature selection software to improve accuracy and reduce cost in automated recognition systems.pdf
A specialized software library that helps identify the most informative measurements used in automated recognition systems has been made available to the public by researchers from the Institute of Information Theory and Automation of the Czech Academy of Sciences.
Permanent Link: http://hdl.handle.net/11104/0195391
Number of the records: 1