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Solving large scale learning tasksch...
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Michaelis, Stefan.
Solving large scale learning taskschallenges and algorithms : essays dedicated to Katharina Morik on the Occasion of her 60th Birthday /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Solving large scale learning tasksedited by Stefan Michaelis, Nico Piatkowski, Marco Stolpe.
Reminder of title:
challenges and algorithms : essays dedicated to Katharina Morik on the Occasion of her 60th Birthday /
other author:
Michaelis, Stefan.
Published:
Cham :Springer International Publishing :2016.
Description:
xiv, 387 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Big data.
Online resource:
http://dx.doi.org/10.1007/978-3-319-41706-6
ISBN:
9783319417066$q(electronic bk.)
Solving large scale learning taskschallenges and algorithms : essays dedicated to Katharina Morik on the Occasion of her 60th Birthday /
Solving large scale learning tasks
challenges and algorithms : essays dedicated to Katharina Morik on the Occasion of her 60th Birthday /[electronic resource] :edited by Stefan Michaelis, Nico Piatkowski, Marco Stolpe. - Cham :Springer International Publishing :2016. - xiv, 387 p. :ill., digital ;24 cm. - Lecture notes in computer science,95800302-9743 ;. - Lecture notes in computer science ;4891..
In celebration of Prof. Morik's 60th birthday, this Festschrift covers research areas that Prof. Morik worked in and presents various researchers with whom she collaborated. The 23 refereed articles in this Festschrift volume provide challenges and solutions from theoreticians and practitioners on data preprocessing, modeling, learning, and evaluation. Topics include data-mining and machine-learning algorithms, feature selection and feature generation, optimization as well as efficiency of energy and communication.
ISBN: 9783319417066$q(electronic bk.)
Standard No.: 10.1007/978-3-319-41706-6doiSubjects--Topical Terms:
609582
Big data.
LC Class. No.: QA76.9.B45
Dewey Class. No.: 005.7
Solving large scale learning taskschallenges and algorithms : essays dedicated to Katharina Morik on the Occasion of her 60th Birthday /
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In celebration of Prof. Morik's 60th birthday, this Festschrift covers research areas that Prof. Morik worked in and presents various researchers with whom she collaborated. The 23 refereed articles in this Festschrift volume provide challenges and solutions from theoreticians and practitioners on data preprocessing, modeling, learning, and evaluation. Topics include data-mining and machine-learning algorithms, feature selection and feature generation, optimization as well as efficiency of energy and communication.
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http://dx.doi.org/10.1007/978-3-319-41706-6
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