Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Download Empirical Methods For Artificial Intelligence And Computer Science full books in PDF, epub, and Kindle. Read online Empirical Methods For Artificial Intelligence And Computer Science ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Author : Paul R. Cohen
Publisher :
ISBN 13 :
Total Pages : 132 pages
Book Rating : 4.:/5 (797 download)
Download or read book Empirical Methods for Artificial Intelligence and Computer Science written by Paul R. Cohen and published by . This book was released on 2000 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Paul R. Cohen
Publisher : Bradford Books
ISBN 13 : 9780262032254
Total Pages : 405 pages
Book Rating : 4.0/5 (322 download)
Download or read book Empirical Methods for Artificial Intelligence written by Paul R. Cohen and published by Bradford Books. This book was released on 1995 with total page 405 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents empirical methods for studying complex computer programs: exploratory tools to help find patterns in data, experiment designs and hypothesis-testing tools to help data speak convincingly, and modeling tools to help explain data.
Author : Stefan Riezler
Publisher : Springer Nature
ISBN 13 : 3031570650
Total Pages : 179 pages
Book Rating : 4.0/5 (315 download)
Download or read book Validity, Reliability, and Significance written by Stefan Riezler and published by Springer Nature. This book was released on with total page 179 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Emiel Krahmer
Publisher : Springer Science & Business Media
ISBN 13 : 3642155723
Total Pages : 363 pages
Book Rating : 4.6/5 (421 download)
Download or read book Empirical Methods in Natural Language Generation written by Emiel Krahmer and published by Springer Science & Business Media. This book was released on 2010-09-09 with total page 363 pages. Available in PDF, EPUB and Kindle. Book excerpt: Natural language generation (NLG) is a subfield of natural language processing (NLP) that is often characterized as the study of automatically converting non-linguistic representations (e.g., from databases or other knowledge sources) into coherent natural language text. In recent years the field has evolved substantially. Perhaps the most important new development is the current emphasis on data-oriented methods and empirical evaluation. Progress in related areas such as machine translation, dialogue system design and automatic text summarization and the resulting awareness of the importance of language generation, the increasing availability of suitable corpora in recent years, and the organization of shared tasks for NLG, where different teams of researchers develop and evaluate their algorithms on a shared, held out data set have had a considerable impact on the field, and this book offers the first comprehensive overview of recent empirically oriented NLG research.
Author : Paul R. Cohen
Publisher :
ISBN 13 : 9788120325319
Total Pages : 405 pages
Book Rating : 4.3/5 (253 download)
Download or read book Empirical Mehods For Artificial Intelligence written by Paul R. Cohen and published by . This book was released on 2004 with total page 405 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Henrik I. Christensen
Publisher : World Scientific
ISBN 13 : 9810249535
Total Pages : 170 pages
Book Rating : 4.8/5 (12 download)
Download or read book Empirical Evaluation Methods in Computer Vision written by Henrik I. Christensen and published by World Scientific. This book was released on 2002 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides comprehensive coverage of methods for the empirical evaluation of computer vision techniques. The practical use of computer vision requires empirical evaluation to ensure that the overall system has a guaranteed performance. The book contains articles that cover the design of experiments for evaluation, range image segmentation, the evaluation of face recognition and diffusion methods, image matching using correlation methods, and the performance of medical image processing algorithms.
Author :
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (455 download)
Download or read book Experimental Methods for Evaluating Planning Systems written by and published by . This book was released on 1998 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this research was to develop empirical tools that allow AI researchers to study their systems in a principled, systematic way. In the course of a three-year project the University of Massachusetts published over 30 refereed articles on empirical methods; a textbook, Empirical Methods for Artificial Intelligence; a web site devoted to research methods in AI and Computer Science; and over 40 papers at symposia, workshops, ad related forums. This final report contains summaries of the first two years of the project and the final year. The project went according to plan with one significant deviation. The project didn't envision the power of the World Wide Web. Technical results were planned to be delivered in conventional ways by publishing software and reports. By the second year of the project, it became clear that a web site devoted to empirical methods was required. MIT Press granted permission to post excerpt of the recently published book. Technical articles were posted, along with more of the tutorial and resource material, onto the web site. The Evaluation of Intelligent Systems (EIS) web site is completed, and much of the technology developed under this program - including the CLASP system - can be found there. As the web site address is changing in the near future, we refer interested readers to the Experimental Knowledge Systems Laboratory web site (http://www-eks1.cs.umass.), from which pointers to EIS may be followed.
Author : Darrell Huff
Publisher : W. W. Norton & Company
ISBN 13 : 0393070875
Total Pages : 144 pages
Book Rating : 4.3/5 (93 download)
Download or read book How to Lie with Statistics written by Darrell Huff and published by W. W. Norton & Company. This book was released on 2010-12-07 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you want to outsmart a crook, learn his tricks—Darrell Huff explains exactly how in the classic How to Lie with Statistics. From distorted graphs and biased samples to misleading averages, there are countless statistical dodges that lend cover to anyone with an ax to grind or a product to sell. With abundant examples and illustrations, Darrell Huff’s lively and engaging primer clarifies the basic principles of statistics and explains how they’re used to present information in honest and not-so-honest ways. Now even more indispensable in our data-driven world than it was when first published, How to Lie with Statistics is the book that generations of readers have relied on to keep from being fooled.
Author : Jens Rasmussen
Publisher : Springer Science & Business Media
ISBN 13 : 1461318955
Total Pages : 275 pages
Book Rating : 4.4/5 (613 download)
Download or read book Empirical Foundations of Information and Software Science III written by Jens Rasmussen and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: The monograph presents the proceedings of the Third Symposium on Empir ical Foundations of Information and Software Sciences (EFISS) held at the Riso National Laboratory in Roskilde, Denmark, 23-25 October 1985. The EFISS series of meetings was initiated with the express purpose of explor ing subjects and methods of scientific inquiry of empirical nature which are of common interest to information and software sciences. Furthermore, these meetings were expected to provide a cross-disciplinary forum for discussion of problems and exchange of research results of importance for the design and application of advanced information systems. The previous two EFISS symposia took place at the Georgia Institute of Technology in Atlanta, Georgia, USA. The first meeting in 1982 focused on methods of experimental design and measurement techniques in information and software sciences. The second meeting was held in 1984 and its main theme was the value of information in prescriptive contexts, such as value of information for understanding and implementation of these messages, instructions, and commands. Specific examples of problems of this kind are the value of comments for the enhancement of understanding of computer programs, the value of information in assisting and guiding users of on line interactive systems, and the value of lexical aids in information retrieval. In both symposia, contributed papers were considered on any other valid subject of empirical foundations of the said two sciences.
Author : Pranas Zunde
Publisher : Springer
ISBN 13 :
Total Pages : 552 pages
Book Rating : 4.:/5 (2 download)
Download or read book Empirical Foundations of Information and Software Science IV written by Pranas Zunde and published by Springer. This book was released on 1987 with total page 552 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Meng Jiang
Publisher : Springer Nature
ISBN 13 : 9819707471
Total Pages : 101 pages
Book Rating : 4.8/5 (197 download)
Download or read book Knowledge-augmented Methods for Natural Language Processing written by Meng Jiang and published by Springer Nature. This book was released on with total page 101 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Radek Silhavy
Publisher : Springer
ISBN 13 : 3319911864
Total Pages : 486 pages
Book Rating : 4.3/5 (199 download)
Download or read book Software Engineering and Algorithms in Intelligent Systems written by Radek Silhavy and published by Springer. This book was released on 2018-05-16 with total page 486 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents new software engineering approaches and methods, discussing real-world problems and exploratory research that describes novel approaches, modern design techniques, hybrid algorithms and empirical methods. This book constitutes part of the refereed proceedings of the Software Engineering and Algorithms in Intelligent Systems Section of the 7th Computer Science On-line Conference 2018 (CSOC 2018), held in April 2018.
Author : Leszek Rutkowski
Publisher : Springer
ISBN 13 : 3540697314
Total Pages : 1275 pages
Book Rating : 4.5/5 (46 download)
Download or read book Artificial Intelligence and Soft Computing – ICAISC 2008 written by Leszek Rutkowski and published by Springer. This book was released on 2008-06-19 with total page 1275 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 9th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2008, held in Zakopane, Poland, in June 2008. The 116 revised contributed papers presented were carefully reviewed and selected from 320 submissions. The papers are organized in topical sections on neural networks and their applications, fuzzy systems and their applications, evolutionary algorithms and their applications, classification, rule discovery and clustering, image analysis, speech and robotics, bioinformatics and medical applications, various problems of artificial intelligence, and agent systems.
Author : Ajay Agrawal
Publisher : University of Chicago Press
ISBN 13 : 0226833127
Total Pages : 172 pages
Book Rating : 4.2/5 (268 download)
Download or read book The Economics of Artificial Intelligence written by Ajay Agrawal and published by University of Chicago Press. This book was released on 2024-03-05 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.
Author : Pepa Atanasova
Publisher : Springer Nature
ISBN 13 : 3031515188
Total Pages : 208 pages
Book Rating : 4.0/5 (315 download)
Download or read book Accountable and Explainable Methods for Complex Reasoning over Text written by Pepa Atanasova and published by Springer Nature. This book was released on with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Robert R. Hoffman
Publisher : Psychology Press
ISBN 13 : 1317779533
Total Pages : 622 pages
Book Rating : 4.3/5 (177 download)
Download or read book The Psychology of Expertise written by Robert R. Hoffman and published by Psychology Press. This book was released on 2014-02-25 with total page 622 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume investigates our ability to capture, and then apply, expertise. In recent years, expertise has come to be regarded as an increasingly valuable and surprisingly elusive resource. Experts, who were the sole active dispensers of certain kinds of knowledge in the days before AI, have themselves become the objects of empirical inquiry, in which their knowledge is elicited and studied -- by knowledge engineers, experimental psychologists, applied psychologists, or other experts -- involved in the development of expert systems. This book achieves a marriage between experimentalists, applied scientists, and theoreticians who deal with expertise. It envisions the benefits to society of an advanced technology for capturing and disseminating the knowledge and skills of the best corporate managers, the most seasoned pilots, and the most renowned medical diagnosticians. This book should be of interest to psychologists as well as to knowledge engineers who are "out in the trenches" developing expert systems, and anyone pondering the nature of expertise and the question of how it can be elicited and studied scientifically. The book's scope and the pivotal concepts that it elucidates and appraises, as well as the extensive categorized bibliographies it includes, make this volume a landmark in the field of expert systems and AI as well as the field of applied experimental psychology.
Author : Wayne Ferson
Publisher : MIT Press
ISBN 13 : 0262039370
Total Pages : 497 pages
Book Rating : 4.2/5 (62 download)
Download or read book Empirical Asset Pricing written by Wayne Ferson and published by MIT Press. This book was released on 2019-03-12 with total page 497 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to the theory and methods of empirical asset pricing, integrating classical foundations with recent developments. This book offers a comprehensive advanced introduction to asset pricing, the study of models for the prices and returns of various securities. The focus is empirical, emphasizing how the models relate to the data. The book offers a uniquely integrated treatment, combining classical foundations with more recent developments in the literature and relating some of the material to applications in investment management. It covers the theory of empirical asset pricing, the main empirical methods, and a range of applied topics. The book introduces the theory of empirical asset pricing through three main paradigms: mean variance analysis, stochastic discount factors, and beta pricing models. It describes empirical methods, beginning with the generalized method of moments (GMM) and viewing other methods as special cases of GMM; offers a comprehensive review of fund performance evaluation; and presents selected applied topics, including a substantial chapter on predictability in asset markets that covers predicting the level of returns, volatility and higher moments, and predicting cross-sectional differences in returns. Other chapters cover production-based asset pricing, long-run risk models, the Campbell-Shiller approximation, the debate on covariance versus characteristics, and the relation of volatility to the cross-section of stock returns. An extensive reference section captures the current state of the field. The book is intended for use by graduate students in finance and economics; it can also serve as a reference for professionals.
