Machine Learning With Scratch 3 0
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Machine Learning
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Author : Lorenza Saitta
language : en
Publisher: Morgan Kaufmann Publishers
Release Date : 1996
Machine Learning written by Lorenza Saitta and has been published by Morgan Kaufmann Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Computers categories.
Ijcai 01
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Author : Bernhard Nebel
language : en
Publisher:
Release Date : 2001
Ijcai 01 written by Bernhard Nebel and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Artificial intelligence categories.
Machine Learning Ecml
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Author :
language : en
Publisher:
Release Date : 1998
Machine Learning Ecml written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Induction (Logic) categories.
Machine Learning Neural And Statistical Classification
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Author : Donald Michie
language : en
Publisher: Prentice Hall
Release Date : 1994
Machine Learning Neural And Statistical Classification written by Donald Michie and has been published by Prentice Hall this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Computers categories.
Machine Learning Ecml 98
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Author : Claire Nedellec
language : en
Publisher: Lecture Notes in Artificial Intelligence
Release Date : 1998-04-08
Machine Learning Ecml 98 written by Claire Nedellec and has been published by Lecture Notes in Artificial Intelligence this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-04-08 with Computers categories.
This book constitutes the refereed proceedings of the 10th European Conference on Machine Learning, ECML-98, held in Chemnitz, Germany, in April 1998. The book presents 21 revised full papers and 25 short papers reporting on work in progress together with two invited contributions; the papers were selected from a total of 100 submissions. The book is divided in sections on applications of ML, Bayesian networks, feature selection, decision trees, support vector learning, multiple models for classification, inductive logic programming, relational learning, instance-based learning, clustering, genetic algorithms, reinforcement learning and neural networks.
Proceedings Of The International Joint Conference On Artificial Intelligence
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Author :
language : en
Publisher:
Release Date : 2001
Proceedings Of The International Joint Conference On Artificial Intelligence written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Artificial intelligence categories.
Review On Use Of Reinforcement Learning In Artificial Intelligence
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Author : Mehdi Samieiyeganeh
language : en
Publisher: GRIN Verlag
Release Date : 2012-06-15
Review On Use Of Reinforcement Learning In Artificial Intelligence written by Mehdi Samieiyeganeh and has been published by GRIN Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-06-15 with Computers categories.
Research Paper (postgraduate) from the year 2012 in the subject Computer Sciences - Artificial Intelligence, grade: none, Jawaharlal Nehru University , language: English, abstract: Human started making machinery that can do the job for them. The technology developed so much that it started involving many other branches of engineering such as electronics, robotics etc. This eventually led to much more complex and smart machinery involving Artificial Intelligence. Reinforcement Learning is a type of Machine Learning, and thereby also a branch of Artificial Intelligence. It allows machines and software agents to automatically determine the ideal behavior within a specific context, in order to maximize its performance. Reinforcement Learning (RL) comes from the animal learning theory. RL does not need prior knowledge, it can autonomously get optional policy with the knowledge obtained by trial- and-error and continuously interact with dynamic environment. As a matter of fact, Reinforcement Learning is defined by a specific type of problem, and all its solutions are classed as Reinforcement Learning algorithms. In the problem, an agent is supposed decide the best action to select based on its current state. When this step is repeated, the problem is known as a Markov Decision Process. A Markov Decision Process is a discrete time stochastic control process. At each time step, the process is in some state s, and the decision maker may choose any action that is available in state‘s’. Markov Decision Process provides a mathematical framework for modeling decision-making in situations where outcomes are partly random and partly under the control of a decision maker.
Proceedings
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Author : American Association for Artificial Intelligence
language : en
Publisher:
Release Date : 2006
Proceedings written by American Association for Artificial Intelligence and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Artificial intelligence categories.
Ijcai 99
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Author : Thomas L. Dean
language : en
Publisher:
Release Date : 1999
Ijcai 99 written by Thomas L. Dean and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Artificial intelligence categories.
Machine Learning
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Author : Lawrence Birnbaum
language : en
Publisher: Morgan Kaufmann
Release Date : 1991
Machine Learning written by Lawrence Birnbaum and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Computers categories.
The proceedings of the Eighth International Workshop (ML91) held at Northwestern U., Evanston, Illinois, in June 1991. All papers contain new work, new results, or major extensions to prior work. Topics include automated knowledge acquisition, computational models of human learning, constructive ind