Author: Vincent Breton
Publisher:
ISBN: 9782713532962
Category :
Languages : fr
Pages : 130

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Author: Vincent Breton
Publisher:
ISBN: 9782713533891
Category :
Languages : fr
Pages : 124

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Author: Vincent Breton
Publisher:
ISBN: 9782713533907
Category :
Languages : fr
Pages : 31

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Author: European Conference of Ministers of Transport
Publisher: OECD Publishing
ISBN:
Category :
Languages : en
Pages : 296

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Book Description
This Report addresses the key issues surrounding traffic speed management and highlights the improvements in policy and operations needed to reduce the extent of speeding.

Author: Stuart Hill
Publisher: Birkhäuser
ISBN: 3034863101
Category : Science
Languages : en
Pages : 364

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Author: Great Britain: Law Commission
Publisher: The Stationery Office
ISBN: 0102943680
Category : Political Science
Languages : en
Pages : 280

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Book Description
A Law Commission consultation paper 'A new homicide act for England and Wales?' was published as LCCP 177 (ISBN 0117302643) in April 2006.

Author: Neural Information Processing Systems Foundation
Publisher: MIT Press
ISBN: 0262026171
Category : Algorithms
Languages : en
Pages : 361

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Book Description
State-of-the-art algorithms and theory in a novel domain of machine learning, prediction when the output has structure.

Author: Lucille Alice Suchman
Publisher: Cambridge University Press
ISBN: 9780521337397
Category : Computers
Languages : en
Pages : 224

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Book Description
A compelling case for the re-examination of interface design models is presented by this text's assertion that human behavior is not taken into account in the planning model generally favored by artificial intelligence.

Author: Director Edmond J Safra Center for Ethics and Roy L Furman Professorship of Law Lawrence Lessig
Publisher: Createspace Independent Publishing Platform
ISBN: 9781537290904
Category :
Languages : en
Pages : 378

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Book Description
There's a common belief that cyberspace cannot be regulated-that it is, in its very essence, immune from the government's (or anyone else's) control.Code argues that this belief is wrong. It is not in the nature of cyberspace to be unregulable; cyberspace has no "nature." It only has code-the software and hardware that make cyberspace what it is. That code can create a place of freedom-as the original architecture of the Net did-or a place of exquisitely oppressive control.If we miss this point, then we will miss how cyberspace is changing. Under the influence of commerce, cyberpsace is becoming a highly regulable space, where our behavior is much more tightly controlled than in real space.But that's not inevitable either. We can-we must-choose what kind of cyberspace we want and what freedoms we will guarantee. These choices are all about architecture: about what kind of code will govern cyberspace, and who will control it. In this realm, code is the most significant form of law, and it is up to lawyers, policymakers, and especially citizens to decide what values that code embodies.

Author: Michael J. Kearns
Publisher: MIT Press
ISBN: 9780262111935
Category : Computers
Languages : en
Pages : 230

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Book Description
Emphasizing issues of computational efficiency, Michael Kearns and Umesh Vazirani introduce a number of central topics in computational learning theory for researchers and students in artificial intelligence, neural networks, theoretical computer science, and statistics. Emphasizing issues of computational efficiency, Michael Kearns and Umesh Vazirani introduce a number of central topics in computational learning theory for researchers and students in artificial intelligence, neural networks, theoretical computer science, and statistics. Computational learning theory is a new and rapidly expanding area of research that examines formal models of induction with the goals of discovering the common methods underlying efficient learning algorithms and identifying the computational impediments to learning. Each topic in the book has been chosen to elucidate a general principle, which is explored in a precise formal setting. Intuition has been emphasized in the presentation to make the material accessible to the nontheoretician while still providing precise arguments for the specialist. This balance is the result of new proofs of established theorems, and new presentations of the standard proofs. The topics covered include the motivation, definitions, and fundamental results, both positive and negative, for the widely studied L. G. Valiant model of Probably Approximately Correct Learning; Occam's Razor, which formalizes a relationship between learning and data compression; the Vapnik-Chervonenkis dimension; the equivalence of weak and strong learning; efficient learning in the presence of noise by the method of statistical queries; relationships between learning and cryptography, and the resulting computational limitations on efficient learning; reducibility between learning problems; and algorithms for learning finite automata from active experimentation.