Feature maximization: a new incremental and flexible approach for the efficient analysis of large and dynamic data collections

Jean-Charles Lamirel

Feature maximization: a new incremental and flexible approach for the efficient analysis of large and dynamic data collections

Jean-Charles Lamirel ¹

1 SYNALP - Natural Language Processing : representations, inference and semantics

LORIA - NLPKD - Department of Natural Language Processing & Knowledge Discovery

Document type :

Other publications

Domain :

Computer Science [cs] / Neural and Evolutionary Computing [cs.NE]

Computer Science [cs] / Artificial Intelligence [cs.AI]

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https://hal.inria.fr/hal-01263803
Contributor : Jean-Charles Lamirel <>
Submitted on : Thursday, January 28, 2016 - 11:40:36 AM
Last modification on : Tuesday, December 18, 2018 - 4:38:01 PM

Feature maximization: a new incremental and flexible approach for the efficient analysis of large and dynamic data collections

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Feature maximization: a new incremental and flexible approach for the efficient analysis of large and dynamic data collections

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