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E-PR

2000 Business & Economics
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Release : 2000
Genre : Business & Economics
Kind : eBook
Book Rating : 342/5 ( reviews)

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Book Synopsis E-PR by : Matt Haig

Download or read book E-PR written by Matt Haig. This book was released on 2000. Available in PDF, EPUB and Kindle. Book excerpt: A study of the theory and practice of public relations on the Internet. It offers comprehensive advice on every aspect from understanding the difference between real world and virtual publics to PR tricks and techniques that attract new customers and keep the old ones coming back. It features well-known cases and quotes from the founders of successful Web sites.

COLT '89

2014-06-28 Computers
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Release : 2014-06-28
Genre : Computers
Kind : eBook
Book Rating : 294/5 ( reviews)

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Book Synopsis COLT '89 by : COLT

Download or read book COLT '89 written by COLT. This book was released on 2014-06-28. Available in PDF, EPUB and Kindle. Book excerpt: Computational Learning Theory presents the theoretical issues in machine learning and computational models of learning. This book covers a wide range of problems in concept learning, inductive inference, and pattern recognition. Organized into three parts encompassing 32 chapters, this book begins with an overview of the inductive principle based on weak convergence of probability measures. This text then examines the framework for constructing learning algorithms. Other chapters consider the formal theory of learning, which is learning in the sense of improving computational efficiency as opposed to concept learning. This book discusses as well the informed parsimonious (IP) inference that generalizes the compatibility and weighted parsimony techniques, which are most commonly applied in biology. The final chapter deals with the construction of prediction algorithms in a situation in which a learner faces a sequence of trials, with a prediction to be given in each and the goal of the learner is to make some mistakes. This book is a valuable resource for students and teachers.

AI 2003: Advances in Artificial Intelligence

2003-12-01 Computers
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Release : 2003-12-01
Genre : Computers
Kind : eBook
Book Rating : 812/5 ( reviews)

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Book Synopsis AI 2003: Advances in Artificial Intelligence by : Tamas D. Gedeon

Download or read book AI 2003: Advances in Artificial Intelligence written by Tamas D. Gedeon. This book was released on 2003-12-01. Available in PDF, EPUB and Kindle. Book excerpt: Consider the problem of a robot (algorithm, learning mechanism) moving along the real line attempting to locate a particular point ? . To assist the me- anism, we assume that it can communicate with an Environment (“Oracle”) which guides it with information regarding the direction in which it should go. If the Environment is deterministic the problem is the “Deterministic Point - cation Problem” which has been studied rather thoroughly [1]. In its pioneering version [1] the problem was presented in the setting that the Environment could charge the robot a cost which was proportional to the distance it was from the point sought for. The question of having multiple communicating robots locate a point on the line has also been studied [1, 2]. In the stochastic version of this problem, we consider the scenario when the learning mechanism attempts to locate a point in an interval with stochastic (i. e. , possibly erroneous) instead of deterministic responses from the environment. Thus when it should really be moving to the “right” it may be advised to move to the “left” and vice versa. Apart from the problem being of importance in its own right, the stoch- tic pointlocationproblemalsohas potentialapplications insolvingoptimization problems. Inmanyoptimizationsolutions–forexampleinimageprocessing,p- tern recognition and neural computing [5, 9, 11, 12, 14, 16, 19], the algorithm worksits wayfromits currentsolutionto the optimalsolutionbasedoninfor- tion that it currentlyhas. A crucialquestionis oneof determining the parameter whichtheoptimizationalgorithmshoulduse.

A History of Inverse Probability

2012-09-08 Mathematics
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Release : 2012-09-08
Genre : Mathematics
Kind : eBook
Book Rating : 529/5 ( reviews)

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Book Synopsis A History of Inverse Probability by : Andrew I. Dale

Download or read book A History of Inverse Probability written by Andrew I. Dale. This book was released on 2012-09-08. Available in PDF, EPUB and Kindle. Book excerpt: This is a history of the use of Bayes theoremfrom its discovery by Thomas Bayes to the rise of the statistical competitors in the first part of the twentieth century. The book focuses particularly on the development of one of the fundamental aspects of Bayesian statistics, and in this new edition readers will find new sections on contributors to the theory. In addition, this edition includes amplified discussion of relevant work.

A Logical Introduction to Probability and Induction

2018-11-21 Mathematics
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Release : 2018-11-21
Genre : Mathematics
Kind : eBook
Book Rating : 406/5 ( reviews)

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Book Synopsis A Logical Introduction to Probability and Induction by : Franz Huber

Download or read book A Logical Introduction to Probability and Induction written by Franz Huber. This book was released on 2018-11-21. Available in PDF, EPUB and Kindle. Book excerpt: A Logical Introduction to Probability and Induction is a textbook on the mathematics of the probability calculus and its applications in philosophy. On the mathematical side, the textbook introduces these parts of logic and set theory that are needed for a precise formulation of the probability calculus. On the philosophical side, the main focus is on the problem of induction and its reception in epistemology and the philosophy of science. Particular emphasis is placed on the means-end approach to the justification of inductive inference rules. In addition, the book discusses the major interpretations of probability. These are philosophical accounts of the nature of probability that interpret the mathematical structure of the probability calculus. Besides the classical and logical interpretation, they include the interpretation of probability as chance, degree of belief, and relative frequency. The Bayesian interpretation of probability as degree of belief locates probability in a subject's mind. It raises the question why her degrees of belief ought to obey the probability calculus. In contrast to this, chance and relative frequency belong to the external world. While chance is postulated by theory, relative frequencies can be observed empirically. A Logical Introduction to Probability and Induction aims to equip students with the ability to successfully carry out arguments. It begins with elementary deductive logic and uses it as basis for the material on probability and induction. Throughout the textbook results are carefully proved using the inference rules introduced at the beginning, and students are asked to solve problems in the form of 50 exercises. An instructor's manual contains the solutions to these exercises as well as suggested exam questions. The book does not presuppose any background in mathematics, although sections 10.3-10.9 on statistics are technically sophisticated and optional. The textbook is suitable for lower level undergraduate courses in philosophy and logic.

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