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Author: Matt Haig
Publisher: Kogan Page Publishers
ISBN: 9780749434342
Category : Business & Economics
Languages : en
Pages : 180
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Book Description
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.
Author: Matt Haig
Publisher: Kogan Page Publishers
ISBN: 9780749434342
Category : Business & Economics
Languages : en
Pages : 180
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Book Description
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.
Author: Franz Huber
Publisher: Oxford University Press
ISBN: 0190845406
Category : Mathematics
Languages : en
Pages : 256
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Book Description
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.
Author: Asako Kawamori
Publisher: Elsevier
ISBN: 9780080539720
Category : Science
Languages : en
Pages : 852
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Book Description
The Proceedings in this volume are a refereed selection of presentations from The Third Asia-Pacific EPR/ESR Symposium (APES'01), held in Kobe, Japan from October 29 to November 1, 2001. Participants from 20 countries from Asia, Australia, Europe, North and South America presented 210 papers, of which 132 are included here. These Proceedings are also a blueprint for development of electron paramagnetic resonance (EPR) / electron spin resonance (ESR) in the Asia-Pacific region in the 21st century. The Symposium reflected a variety of research fields developed over half a century and focuses especially on the most recent developments, such as high-field and high-frequency EPR, which are envisaged to be further developed and applied to various fields in the 21st century. All sessions consisted of Plenary, Invited and Contributed presentations. The Plenary presentations aimed at summarizing the overall developments. Invited presentations, reviewing the most recent developments, and Contributed ones, dealing with original research recently carried out in the EPR/ESR area, were given in one of three parallel sessions. The unique research works presented cover various fields and reflect the existing diversity of applications of the EPR/ESR techniques.
Author: Volta Bureau (U.S.)
Publisher:
ISBN:
Category : Deaf
Languages : en
Pages : 160
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Book Description
Author: A.J. Hoff
Publisher: Elsevier
ISBN: 0080933874
Category : Science
Languages : en
Pages : 918
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Book Description
This new book provides an up-to-date survey of existing EPR techniques and their applications in biology and biochemistry, and also provides a wealth of ideas for future developments in instrumentation and theory. The material is broadly organized into four parts. In the first part (chapters 1 to 6) pulsed EPR is discussed in detail. The second part (chapters 7 to 12) provides detailed discussions of a number of novel and experimental methods. The third part comprises seven chapters on double-resonance techniques, five on ENDOR and two on optically- and reaction yield-detected resonance. The final part is devoted to a thorough discussion of a number of new developments in the application of EPR to various biological and biochemical problems. Advanced EPR will interest biophysicists, physical biochemists, EPR spectroscopists and others who will value the extensive treatment of pulsed EPR techniques, the discussion of new developments in EPR instrumentation, and the integration of theory and experimental details as applied to problems in biology and biochemistry.
Author: Shusaku Tsumoto
Publisher: Springer
ISBN: 3540259295
Category : Computers
Languages : en
Pages : 860
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Book Description
In recent years rough set theory has attracted the attention of many researchers and practitioners all over the world, who have contributed essentially to its development and applications. Weareobservingagrowingresearchinterestinthefoundationsofroughsets, including the various logical, mathematical and philosophical aspects of rough sets. Some relationships have already been established between rough sets and other approaches, and also with a wide range of hybrid systems. As a result, rough sets are linked with decision system modeling and analysis of complex systems, fuzzy sets, neural networks, evolutionary computing, data mining and knowledge discovery, pattern recognition, machine learning, and approximate reasoning. In particular, rough sets are used in probabilistic reasoning, granular computing (including information granule calculi based on rough mereology), intelligent control, intelligent agent modeling, identi?cation of autonomous s- tems, and process speci?cation. Methods based on rough set theory alone or in combination with other - proacheshavebeendiscoveredwith awide rangeofapplicationsinsuchareasas: acoustics, bioinformatics, business and ?nance, chemistry, computer engineering (e.g., data compression, digital image processing, digital signal processing, p- allel and distributed computer systems, sensor fusion, fractal engineering), de- sion analysis and systems, economics, electrical engineering (e.g., control, signal analysis, power systems), environmental studies, informatics, medicine, mole- lar biology, musicology, neurology, robotics, social science, software engineering, spatial visualization, Web engineering, and Web mining.
Author: Andrew I. Dale
Publisher: Springer Science & Business Media
ISBN: 1441986529
Category : Mathematics
Languages : en
Pages : 691
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Book Description
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.
Author: John Lawrence
Publisher:
ISBN:
Category : Alliteration
Languages : en
Pages : 134
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Book Description
Author: Xuemin Lin
Publisher: Springer
ISBN: 3642412300
Category : Computers
Languages : en
Pages : 526
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Book Description
This book constitutes the proceedings of the 14th International Conference on Web Information Systems Engineering, WISE 2013, held in Nanjing, China, in October 2013. The 48 full papers, 29 short papers, and 10 demo and 5 challenge papers, presented in the two-volume proceedings LNCS 8180 and 8181, were carefully reviewed and selected from 198 submissions. They are organized in topical sections named: Web mining; Web recommendation; Web services; data engineering and database; semi-structured data and modeling; Web data integration and hidden Web; challenge; social Web; information extraction and multilingual management; networks, graphs and Web-based business processes; event processing, Web monitoring and management; and innovative techniques and creations.
Author: COLT
Publisher: Morgan Kaufmann
ISBN: 0080948294
Category : Computers
Languages : en
Pages : 389
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Book Description
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.
