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Auto-Machine-Learning-Methods-Sys

  • Information theory, inference and learning

    Information theory, inference and learning algorithms 

    標簽: 編碼

    上傳時間: 2016-04-12

    上傳用戶:baiyouren

  • USBD.sys

    USBD.sys驅動程序 USBD.sys驅動程序 USBD.sys驅動程序

    標簽: USBD.sys

    上傳時間: 2016-04-14

    上傳用戶:zycmic

  • KVM:The Linux Virtual Machine Monitor

    KVM the Linux Virtual Machine Monitor

    標簽: Machine Monitor Virtual Linux KVM The

    上傳時間: 2016-08-12

    上傳用戶:heart_2007

  • Neural Networks and Deep Learning(簡體中文)

    Neural Networks and Deep Learning(簡體中文),比較經典的深度學習入門教程。

    標簽: Networks Learning Neural Deep and 簡體中文

    上傳時間: 2016-11-09

    上傳用戶:zhousui

  • Q-learning

    Q-learning在機器人路徑規劃中的應用

    標簽: Q-learning

    上傳時間: 2018-03-28

    上傳用戶:wangshengmin

  • Q-Learning path planning

    強化學習中的Q-Learning在路徑規劃中的應用

    標簽: Q-Learning planning path

    上傳時間: 2018-03-28

    上傳用戶:wangshengmin

  • AUTO CAD資料

    AUTO CAD 的自學材料,快捷鍵使用,常用系統變量及功能

    標簽: AUTO CAD

    上傳時間: 2018-08-13

    上傳用戶:ruzmun

  • 塑性計算方法,Computational methods for plasticity

    Owen, 塑性計算方法,Computational methods for plasticity

    標簽: Computational plasticity methods for 計算方法

    上傳時間: 2019-01-06

    上傳用戶:jununlin

  • Modern_Control_Theory

    The main aim of this book is to present a unified, systematic description of basic and advanced problems, methods and algorithms of the modern con- trol theory considered as a foundation for the design of computer control and management systems. The scope of the book differs considerably from the topics of classical traditional control theory mainly oriented to the needs of automatic control of technical devices and technological proc- esses. Taking into account a variety of new applications, the book presents a compact and uniform description containing traditional analysis and op- timization problems for control systems as well as control problems with non-probabilistic models of uncertainty, problems of learning, intelligent, knowledge-based and operation systems – important for applications in the control of manufacturing processes, in the project management and in the control of computer systems.

    標簽: Modern_Control_Theory

    上傳時間: 2020-06-10

    上傳用戶:shancjb

  • eisenstein-nlp-notes

    The goal of this text is focus on a core subset of the natural language processing, unified by the concepts of learning and search. A remarkable number of problems in natural language processing can be solved by a compact set of methods:

    標簽: eisenstein-nlp-notes

    上傳時間: 2020-06-10

    上傳用戶:shancjb

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