Abstract: Deep reinforcement learning is the combination of reinforcement learning (RL) and deep learning. This field of research has recently been able to solve a wide range of complex ...
with a preface by George Miller WordNet, an electronic lexical database, is considered to be the most important resource available to researchers in computational linguistics, text analysis, and many ...
Thoroughly revised and expanded, this second edition of the popular reference addresses the many important advances that have taken place in the field since the publication of the first edition and ...
Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=6731005 ...
Book Abstract: This updated printing of the leading text and reference in digital systems testing and testable design provides comprehensive, state-of-the-art coverage of the field. Included are ...
Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=6731005 ...
Abstract: Two machine-learning procedures have been investigated in some detail using the game of checkers. Enough work has been done to verify the fact that a computer can be programmed so that it ...
Book Abstract: Electrical Engineering/Electromagnetics Waves and Fields in Inhomogeneous Media A Volume in the IEEE Press Series on Electromagnetic Waves Donald G ...
Abstract: This paper describes a byte-oriented binary transmission code and its implementation. This code is particularly well suited for high-speed local area networks and similar data links, where ...
Book Abstract: The first systematic presentation of electricity market design-from the basics to the cutting edge. Unique in its breadth and depth. Using examples and focusing on fundamentals, it ...
Abstract: Atmospheric ducting has a significant impact on electromagnetic wave propagation. Radio signals that are trapped and guided by the atmospheric duct can travel a much longer distance over the ...
一些您可能无法访问的结果已被隐去。
显示无法访问的结果
反馈