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  • 1
    Online Resource
    Online Resource
    Information Theory and Machine Learning (2022)
    [Erscheinungsort nicht ermittelbar] : MDPI - Multidisciplinary Digital Publishing Institute
    Details
    UID:
    gbv_1832250687
    Format: 1 Online-Ressource (254 p.)
    ISBN: 9783036553078 , 9783036553085
    Content: The recent successes of machine learning, especially regarding systems based on deep neural networks, have encouraged further research activities and raised a new set of challenges in understanding and designing complex machine learning algorithms. New applications require learning algorithms to be distributed, have transferable learning results, use computation resources efficiently, convergence quickly on online settings, have performance guarantees, satisfy fairness or privacy constraints, incorporate domain knowledge on model structures, etc. A new wave of developments in statistical learning theory and information theory has set out to address these challenges. This Special Issue, "Machine Learning and Information Theory", aims to collect recent results in this direction reflecting a diverse spectrum of visions and efforts to extend conventional theories and develop analysis tools for these complex machine learning systems
    Note: English
    Language: Undetermined
    URL: kostenfrei
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    Stabi Berlin
    UB Potsdam
  • 2
    Online Resource
    Online Resource
    Information Theory and Machine Learning (2022)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    UID:
    edocfu_9960885576802883
    Format: 1 electronic resource (254 p.)
    ISBN: 3-0365-5308-8
    Content: The recent successes of machine learning, especially regarding systems based on deep neural networks, have encouraged further research activities and raised a new set of challenges in understanding and designing complex machine learning algorithms. New applications require learning algorithms to be distributed, have transferable learning results, use computation resources efficiently, convergence quickly on online settings, have performance guarantees, satisfy fairness or privacy constraints, incorporate domain knowledge on model structures, etc. A new wave of developments in statistical learning theory and information theory has set out to address these challenges. This Special Issue, "Machine Learning and Information Theory", aims to collect recent results in this direction reflecting a diverse spectrum of visions and efforts to extend conventional theories and develop analysis tools for these complex machine learning systems.
    Note: English
    Additional Edition: ISBN 3-0365-5307-X
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    FU Berlin
  • 3
    Online Resource
    Online Resource
    Information Theory and Machine Learning (2022)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    UID:
    almahu_9949391658402882
    Format: 1 electronic resource (254 p.)
    ISBN: 3-0365-5308-8
    Content: The recent successes of machine learning, especially regarding systems based on deep neural networks, have encouraged further research activities and raised a new set of challenges in understanding and designing complex machine learning algorithms. New applications require learning algorithms to be distributed, have transferable learning results, use computation resources efficiently, convergence quickly on online settings, have performance guarantees, satisfy fairness or privacy constraints, incorporate domain knowledge on model structures, etc. A new wave of developments in statistical learning theory and information theory has set out to address these challenges. This Special Issue, "Machine Learning and Information Theory", aims to collect recent results in this direction reflecting a diverse spectrum of visions and efforts to extend conventional theories and develop analysis tools for these complex machine learning systems.
    Note: English
    Additional Edition: ISBN 3-0365-5307-X
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    HU Berlin
  • 4
    Online Resource
    Online Resource
    Information Theory and Machine Learning (2022)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    UID:
    edoccha_9960885576802883
    Format: 1 electronic resource (254 p.)
    ISBN: 3-0365-5308-8
    Content: The recent successes of machine learning, especially regarding systems based on deep neural networks, have encouraged further research activities and raised a new set of challenges in understanding and designing complex machine learning algorithms. New applications require learning algorithms to be distributed, have transferable learning results, use computation resources efficiently, convergence quickly on online settings, have performance guarantees, satisfy fairness or privacy constraints, incorporate domain knowledge on model structures, etc. A new wave of developments in statistical learning theory and information theory has set out to address these challenges. This Special Issue, "Machine Learning and Information Theory", aims to collect recent results in this direction reflecting a diverse spectrum of visions and efforts to extend conventional theories and develop analysis tools for these complex machine learning systems.
    Note: English
    Additional Edition: ISBN 3-0365-5307-X
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    Charité
  • 5
    Online Resource
    Online Resource
    Ri ben xing fa gai zheng an ping lun (1931)
    Shang hai
    Details
    UID:
    gbv_1812640218
    Format: 218 Seiten
    Edition: Online-Ausgabe Bei jing 2012 1 Online-Ressource Min guo tu shu shu ju ku = Early Twentieth Century Book in China, 1911-1949. tu shu ; yi qi
    Original writing title: 日本刑法改正案评论
    Original writing person/organisation: 冈田朝太郎
    Original writing publisher: 上海 : 上海法学编译社
    Series Statement: Fa xue cong shu
    Content: 包括193年日本刑法改正预备草案和著者对她的批评. 译者于该草案每条之后附以1928年3月1日国民政府公布的刑法相应的条文，以资对照.
    Note: Pinyin-Umschrift und Langzeichen wurden automatisiert erstellt , System requirements: Internet browser, Acrobat reader with Adobe simplified Chinese fonts.
    Language: Chinese
    URL: lizenzpflichtig
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    Stabi Berlin
  • 6
    Online Resource
    Online Resource
    Jian cha zhi du (1911)
    Shang hai
    Details
    UID:
    gbv_181275471X
    Format: 1 册
    Edition: Online-Ausgabe Bei jing 2012 1 Online-Ressource Min guo tu shu shu ju ku = Early Twentieth Century Book in China, 1911-1949. tu shu ; yi qi
    Original writing title: 检察制度
    Original writing person/organisation: 冈田朝太郎口授
    Original writing publisher: 上海 : 中国图书公司
    Content: 共4编. 第1编刑事法与检察制度，概述刑事诉讼的方式与检察制度及法国检察制度，介绍检察厅的组织, 权限, 章程, 监督等；第2编民事法与检察制度，讲述检察制度的发展, 检事与民事诉讼及非讼事件等；第3编行刑法与检察制度，讲述行刑的要件, 不能行刑的理由，介绍死刑, 自由刑等；第4编检察制度与对外关系，介绍英美法派及欧洲大陆法派关于检察制度的观点及治外法权等.
    Note: Pinyin-Umschrift und Langzeichen wurden automatisiert erstellt , System requirements: Internet browser, Acrobat reader with Adobe simplified Chinese fonts.
    Language: Chinese
    URL: lizenzpflichtig
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    Stabi Berlin
  • 7
    Online Resource
    Online Resource
    Zhong hua min guo zan xing xin xing lü : 1912 nian 3 yue 10 ri lin shi da zong tong ling (1913)
    Bei jing
    Details
    UID:
    gbv_1844395952
    Format: 311 Seiten
    Edition: Online-Ausgabe Bei jing 2016 1 Online-Ressource Min guo tu shu shu ju ku = Early Twentieth Century Books in China, 1911-1949. tu shu ; er qi
    Original writing title: 中华民国暂行新刑律 : 1912年3月10日临时大总统令
    Original writing publisher: 北京 : 民国大学中华大学
    Content: 该法共411条，基本援用清刑律。后附22种参考法令，其中包括新刑律的施行、大赦特赦减刑、法院及法官等法令。
    Note: Pinyin-Umschrift und Langzeichen wurden automatisiert erstellt , System requirements: Internet browser, Acrobat reader with Adobe simplified Chinese fonts.
    Language: Chinese
    URL: lizenzpflichtig
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    Stabi Berlin
  • 8
    Book
    Book
    fa xue tong lun (2013)
    shang hai
    Details
    UID:
    gbv_1036726681
    Format: 3, 9, [2], 5, 139 S.
    Original writing title: 法学通论
    Original writing person/organisation: 冈田朝太郎
    Original writing publisher: 上海 : 上海人民出版社
    ISBN: 9787208118393
    Series Statement: qing mo min guo fa lü shi liao cong kan / jing shi fa lü xue tang bi ji
    Note: 附参考文献 , SBB-PK Berlin
    Language: Chinese
    Library Location Call Number Volume/Issue/Year Availability
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    Book
    Stabi Berlin get availability status
  • 9
    Book
    Book
    ri ben xing fa gai zheng an ping lun (1931)
    shang hai
    Details
    UID:
    gbv_1033427403
    Format: 2, 10, 218 S.
    Original writing title: 日本刑法改正案评论
    Original writing person/organisation: 冈田朝太郎
    Original writing publisher: 上海 : 法学编译社
    Series Statement: min guo ji cui 1
    Note: SBB-PK Berlin
    Language: Chinese
    Library Location Call Number Volume/Issue/Year Availability
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    Book
    Stabi Berlin get availability status
  • 10
    Online Resource
    Online Resource
    Information theory and machine learning (2022)
    Basel : MDPI
    Details
    UID:
    b3kat_BV048641206
    Format: 1 Online-Ressource (VII, 243 Seiten) , Illustrationen, Diagramme
    ISBN: 9783036553085
    Note: Printed edition of the special issue published in Entropy
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-0365-5307-8
    Language: English
    Keywords: Informationstheorie ; Maschinelles Lernen ; Aufsatzsammlung
    DOI: 10.3390/books978-3-0365-5308-5
    URL: Volltext  (kostenfrei)
    URL: Volltext  (kostenfrei)
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    Online Resource
    Fulltext
    Fulltext
    EUV Frankfurt
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