Solving Large Scale Learning Tasks. Challenges and Algorithms

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Essays Dedicated to Katharina Morik on the Occasion of Her 60th Birthday, Lecture Notes in Computer Science 9580 – Lecture Notes in Artificial Intelligence

ISBN: 3319417053
ISBN 13: 9783319417059
Herausgeber: Stefan Michaelis/Nico Piatkowski/Marco Stolpe
Verlag: Springer Verlag GmbH
Umfang: xiv, 387 S., 73 s/w Illustr., 387 p. 73 illus.
Erscheinungsdatum: 03.07.2016
Auflage: 1/2016
Produktform: Kartoniert
Einband: Kartoniert

Contains refereed papers dedicated to Katharina Morik and to her workCollects a number of papers by Prof. Morik’s friends and collaborators over the years presenting a broad range of topics reflecting her versatilityAdresses a large diversity of topics starting with natural language processing; machine learning, ranging from inductive logic programming to statistical learning; analysis of very large data collections; high-dimensional data; and resource awareness. Latest results include spatio-temporal random fields and integer Markov random fields, both allowing for complex probabilistic graphical models under resource constraints.Includes supplementary material: sn.pub/extras

Artikelnummer: 9479896 Kategorie:

Beschreibung

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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