Bibliography

Journal Article

Feature Selection Software to Improve Accuracy and Reduce Cost in Automated Recognition Systems

: ERCIM News vol.2011, 84 (2011), p. 54-54

: CEZ:AV0Z10750506

: 1M0572, GA MŠk, 2C06019, GA MŠk

: feature selection, software library, machine learning

: http://library.utia.cas.cz/separaty/2011/RO/somol-feature selection software to improve accuracy and reduce cost in automated recognition systems.pdf

(eng): 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.

: BD