Publication details

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

Journal Article

Somol Petr

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

research: CEZ:AV0Z10750506

project(s): 1M0572, GA MŠk, 2C06019, GA MŠk

keywords: feature selection, software library, machine learning

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abstract (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.