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Foundations of Bayesianism
Foundations of Bayesianism is an authoritative collection of papers addressing the key challenges that face the Bayesian interpretation of probability today. Some of these papers seek to clarify the relationships between Bayesian, causal and logical reasoning. Others consider the application of Bayesianism to artificial intelligence, decision theory, statistics and the philosophy of science and mathematics. The volume includes important criticisms of Bayesian reasoning and also gives an insight into some of the points of disagreement amongst advocates of the Bayesian approach. The upshot is a plethora of new problems and directions for Bayesians to pursue. The book will be of interest to graduate students or researchers who wish to learn more about Bayesianism than can be provided by introductory textbooks to the subject. Those involved with the applications of Bayesian reasoning will find essential discussion on the validity of Bayesianism and its limits, while philosophers and others interested in pure reasoning will find new ideas on normativity and the logic of belief.
Computational Logic: Logic Programming and Beyond
Alan Robinson This set of essays pays tribute to Bob Kowalski on his 60th birthday, an anniversary which gives his friends and colleagues an excuse to celebrate his career as an original thinker, a charismatic communicator, and a forceful intellectual leader. The logic programming community hereby and herein conveys its respect and thanks to him for his pivotal role in creating and fostering the conceptual paradigm which is its raison d’Œtre. The diversity of interests covered here reflects the variety of Bob’s concerns. Read on. It is an intellectual feast. Before you begin, permit me to send him a brief personal, but public, message: Bob, how right you were, and how wrong I was. I sho...
Web Knowledge Management and Decision Support
The 20 revised full papers presented in this book together with 4 section surveys were carefully reviewed and selected from the papers contributed to the 14th International Conference on Applications of Prolog, INAP 2001, held in Tokyo, Japan, in October 2002. The papers are devoted to the four tightly interwoven aspects knowledge acquisition, knowledge management, knowledge processing, and knowledge distribution, all in the context of the World Wide Web; they are organized in topical sections on Web languages and logic, knowlege acquisition and knowledge representation, decision support by advanced logic programming, and Web-knowledge management and data mining. The book is targeted to designers and users of e-business systems and e-government systems, for IT professionals who build such systems, as well as for the wider audience interested in the technical background of knowledge processing for the Web.
Acts Passed at a General Assembly of the Commonwealth of Virginia
Includes extra sessions.
Acts and Joint Resolutions, Amending the Constitution, of the General Assembly of the State of Virginia
Includes separately published extra sessions.
Machine Learning
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Machine Learning
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