On the minimax optimality and superiority of deep neural network learning over sparse parameter spaces (Mathematical engineering technical reports ; METR 2019-9)

On the minimax optimality and superiority of deep neural network learning over sparse parameter spaces

(Mathematical engineering technical reports ; METR 2019-9)

Call No. (NDL): MA21-D16
Bibliographic ID of National Diet Library: 030222180

Material type: 図書

Author: Satoshi Hayakawa, Taiji Suzuki [著]

Publisher: Department of Mathematical Informatics, Graduate School of Information Science and Technology, the University of Tokyo

Publication date: 2019.5

Material Format: Paper

Capacity, size, etc.: 34p ; 30cm

NDC: -

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Paper

Material Type: 図書
Title: On the minimax optimality and superiority of deep neural network learning over sparse parameter spaces
Title Transcription: On the minimax optimality and superiority of deep neural network learning over sparse parameter spaces
Author/Editor: Satoshi Hayakawa, Taiji Suzuki [著]
Series Title: Mathematical engineering technical reports ; METR 2019-9
Publication, Distribution, etc.: Tokyo : Department of Mathematical Informatics, Graduate School of Information Science and Technology, the University of Tokyo
Publication Date: 2019.5
Publication Date (W3CDTF): 2019
Extent: 34p
Size: 30cm
Place of Publication (Country Code): JP
Text Language Code: eng
NDLC: MA21
Target Audience: 一般
Note (Bibliography): 文献あり
Holding library: 国立国会図書館
Call No.: MA21-D16
Data Provider (Database): 国立国会図書館 : 国立国会図書館蔵書
https://ndlsearch.ndl.go.jp
Bibliographic ID (NDL): 030222180
http://id.ndl.go.jp/bib/030222180
National Bibliography No. (JPNO): 23337755
Cataloging Rule: Nippon Cataloguing Rules 1987 Revised Edition
Bibliographic Record Category (NDL): 111