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Author : Des Barker
Publisher :
ISBN 13 :
Total Pages : 344 pages
Book Rating : 4.F/5 ( download)
Download or read book Zero Error Margin written by Des Barker and published by . This book was released on 2003 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Shai Ben David
Publisher : Springer
ISBN 13 : 3540302158
Total Pages : 519 pages
Book Rating : 4.5/5 (43 download)
Download or read book Algorithmic Learning Theory written by Shai Ben David and published by Springer. This book was released on 2004-09-24 with total page 519 pages. Available in PDF, EPUB and Kindle. Book excerpt: Algorithmic learning theory is mathematics about computer programs which learn from experience. This involves considerable interaction between various mathematical disciplines including theory of computation, statistics, and c- binatorics. There is also considerable interaction with the practical, empirical ?elds of machine and statistical learning in which a principal aim is to predict, from past data about phenomena, useful features of future data from the same phenomena. The papers in this volume cover a broad range of topics of current research in the ?eld of algorithmic learning theory. We have divided the 29 technical, contributed papers in this volume into eight categories (corresponding to eight sessions) re?ecting this broad range. The categories featured are Inductive Inf- ence, Approximate Optimization Algorithms, Online Sequence Prediction, S- tistical Analysis of Unlabeled Data, PAC Learning & Boosting, Statistical - pervisedLearning,LogicBasedLearning,andQuery&ReinforcementLearning. Below we give a brief overview of the ?eld, placing each of these topics in the general context of the ?eld. Formal models of automated learning re?ect various facets of the wide range of activities that can be viewed as learning. A ?rst dichotomy is between viewing learning as an inde?nite process and viewing it as a ?nite activity with a de?ned termination. Inductive Inference models focus on inde?nite learning processes, requiring only eventual success of the learner to converge to a satisfactory conclusion.
Author : Nader H. Bshouty
Publisher : Springer
ISBN 13 : 3642341063
Total Pages : 391 pages
Book Rating : 4.6/5 (423 download)
Download or read book Algorithmic Learning Theory written by Nader H. Bshouty and published by Springer. This book was released on 2012-10-01 with total page 391 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 23rd International Conference on Algorithmic Learning Theory, ALT 2012, held in Lyon, France, in October 2012. The conference was co-located and held in parallel with the 15th International Conference on Discovery Science, DS 2012. The 23 full papers and 5 invited talks presented were carefully reviewed and selected from 47 submissions. The papers are organized in topical sections on inductive inference, teaching and PAC learning, statistical learning theory and classification, relations between models and data, bandit problems, online prediction of individual sequences, and other models of online learning.
Author : Igelnik, Boris
Publisher : IGI Global
ISBN 13 : 1466639431
Total Pages : 370 pages
Book Rating : 4.4/5 (666 download)
Download or read book Efficiency and Scalability Methods for Computational Intellect written by Igelnik, Boris and published by IGI Global. This book was released on 2013-04-30 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational modeling and simulation has developed and expanded into a diverse range of fields such as digital signal processing, image processing, robotics, systems biology, and many more; enhancing the need for a diversifying problem solving applications in this area. Efficiency and Scalability Methods for Computational Intellect presents various theories and methods for approaching the problem of modeling and simulating intellect in order to target computation efficiency and scalability of proposed methods. Researchers, instructors, and graduate students will benefit from this current research and will in turn be able to apply the knowledge in an effective manner to gain an understanding of how to improve this field.
Author : Petra Perner
Publisher : Springer
ISBN 13 : 3319624164
Total Pages : 462 pages
Book Rating : 4.3/5 (196 download)
Download or read book Machine Learning and Data Mining in Pattern Recognition written by Petra Perner and published by Springer. This book was released on 2017-07-01 with total page 462 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 13th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2017, held in New York, NY, USA in July/August 2017.The 31 full papers presented in this book were carefully reviewed and selected from 150 submissions. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multi-media data types such as image mining, text mining, video mining, and Web mining.
Author : Vladimir Cherkassky
Publisher : John Wiley & Sons
ISBN 13 : 9780470140512
Total Pages : 560 pages
Book Rating : 4.1/5 (45 download)
Download or read book Learning from Data written by Vladimir Cherkassky and published by John Wiley & Sons. This book was released on 2007-09-10 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt: An interdisciplinary framework for learning methodologies—covering statistics, neural networks, and fuzzy logic, this book provides a unified treatment of the principles and methods for learning dependencies from data. It establishes a general conceptual framework in which various learning methods from statistics, neural networks, and fuzzy logic can be applied—showing that a few fundamental principles underlie most new methods being proposed today in statistics, engineering, and computer science. Complete with over one hundred illustrations, case studies, and examples making this an invaluable text.
Author : Rusins Freivalds
Publisher : Springer
ISBN 13 : 3540446699
Total Pages : 554 pages
Book Rating : 4.5/5 (44 download)
Download or read book Fundamentals of Computation Theory written by Rusins Freivalds and published by Springer. This book was released on 2003-05-15 with total page 554 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 13th International Symposium Fundamentals of Computation Theory, FCT 2001, as well as of the International Workshop on Efficient Algorithms, WEA 2001, held in Riga, Latvia, in August 2001. The 28 revised full FCT papers and 15 short papers presented together with six invited contributions and 8 revised full WEA papers as well as three invited WEA contributions have been carefully reviewed and selected. Among the topics addressed are a broad variety of topics from theoretical computer science, algorithmics and programming theory. The WEA papers deal with graph and network algorithms, flow and routing problems, scheduling and approximation algorithms, etc.
Author : David Helmbold
Publisher : Springer
ISBN 13 : 3540445811
Total Pages : 639 pages
Book Rating : 4.5/5 (44 download)
Download or read book Computational Learning Theory written by David Helmbold and published by Springer. This book was released on 2003-06-29 with total page 639 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 14th Annual and 5th European Conferences on Computational Learning Theory, COLT/EuroCOLT 2001, held in Amsterdam, The Netherlands, in July 2001. The 40 revised full papers presented together with one invited paper were carefully reviewed and selected from a total of 69 submissions. All current aspects of computational learning and its applications in a variety of fields are addressed.
Author : Philippe Wenger
Publisher : Springer
ISBN 13 : 3319441566
Total Pages : 579 pages
Book Rating : 4.3/5 (194 download)
Download or read book New Trends in Mechanism and Machine Science written by Philippe Wenger and published by Springer. This book was released on 2016-09-03 with total page 579 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book collects the most recent advances in mechanism science and machine theory with application to engineering. It contains selected peer-reviewed papers of the sixth International Conference on Mechanism Science, held in Nantes, France, 20-23 September 2016, covering topics on mechanism design and synthesis, mechanics of robots, mechanism analysis, parallel manipulators, tensegrity mechanisms, cable mechanisms, control issues in mechanical systems, history of mechanisms, mechanisms for biomechanics and surgery and industrial and nonindustrial applications.
Author : Hans Ulrich Simon
Publisher : Springer
ISBN 13 : 3540352961
Total Pages : 667 pages
Book Rating : 4.5/5 (43 download)
Download or read book Learning Theory written by Hans Ulrich Simon and published by Springer. This book was released on 2006-09-29 with total page 667 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 19th Annual Conference on Learning Theory, COLT 2006, held in Pittsburgh, Pennsylvania, USA, June 2006. The book presents 43 revised full papers together with 2 articles on open problems and 3 invited lectures. The papers cover a wide range of topics including clustering, un- and semi-supervised learning, statistical learning theory, regularized learning and kernel methods, query learning and teaching, inductive inference, and more.
Author : Leszek Rutkowski
Publisher : Springer Science & Business Media
ISBN 13 : 3540357483
Total Pages : 1256 pages
Book Rating : 4.5/5 (43 download)
Download or read book Artificial Intelligence and Soft Computing – ICAISC 2006 written by Leszek Rutkowski and published by Springer Science & Business Media. This book was released on 2006-06-27 with total page 1256 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 8th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2006, held in Zakopane, Poland, in June 2006. The 128 revised contributed papers presented are organized in topical sections on neural networks and their applications, fuzzy systems and their applications, evolutionary algorithms and their applications, rough sets, classification and clustering, image analysis and robotics, bioinformatics and medical applications, various problems of artificial intelligence.
Author : Aristomenis S. Lampropoulos
Publisher : Springer
ISBN 13 : 3319191357
Total Pages : 135 pages
Book Rating : 4.3/5 (191 download)
Download or read book Machine Learning Paradigms written by Aristomenis S. Lampropoulos and published by Springer. This book was released on 2015-06-13 with total page 135 pages. Available in PDF, EPUB and Kindle. Book excerpt: This timely book presents Applications in Recommender Systems which are making recommendations using machine learning algorithms trained via examples of content the user likes or dislikes. Recommender systems built on the assumption of availability of both positive and negative examples do not perform well when negative examples are rare. It is exactly this problem that the authors address in the monograph at hand. Specifically, the books approach is based on one-class classification methodologies that have been appearing in recent machine learning research. The blending of recommender systems and one-class classification provides a new very fertile field for research, innovation and development with potential applications in “big data” as well as “sparse data” problems. The book will be useful to researchers, practitioners and graduate students dealing with problems of extensive and complex data. It is intended for both the expert/researcher in the fields of Pattern Recognition, Machine Learning and Recommender Systems, as well as for the general reader in the fields of Applied and Computer Science who wishes to learn more about the emerging discipline of Recommender Systems and their applications. Finally, the book provides an extended list of bibliographic references which covers the relevant literature completely.
Author : Reinhold Decker
Publisher : Springer Science & Business Media
ISBN 13 : 3540709819
Total Pages : 689 pages
Book Rating : 4.5/5 (47 download)
Download or read book Advances in Data Analysis written by Reinhold Decker and published by Springer Science & Business Media. This book was released on 2007-03-24 with total page 689 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on exploratory data analysis, learning of latent structures in datasets, and unscrambling of knowledge. Coverage details a broad range of methods from multivariate statistics, clustering and classification, visualization and scaling as well as from data and time series analysis. It provides new approaches for information retrieval and data mining and reports a host of challenging applications in various fields.
Author : Carl Allen
Publisher : CRC Press
ISBN 13 : 1040148719
Total Pages : 368 pages
Book Rating : 4.0/5 (41 download)
Download or read book The Polls Weren't Wrong written by Carl Allen and published by CRC Press. This book was released on 2024-09-24 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: Interpreting poll data as a prediction of election outcomes is a practice as old as the field, rooted in a fundamental misunderstanding of what poll data means. By first understanding how polls work at a fundamental level, this book gives readers the ability to discern flaws in the current methods. Then, through specific political examples from both the United States and the United Kingdom, it is shown how polls famously derided as "wrong" were, in fact, accurate. While polls are not always accurate, the reasons we can and can’t (rightly) call them "wrong" are explained in this book. This book will equip readers with the tools to navigate the mismatch of expectations. It is not intended to replace more technical applications of statistics but is accessible to anyone interested in learning more about how poll data should be understood, compared to how it’s currently misunderstood.
Author : Wlodzislaw Duch
Publisher : Springer
ISBN 13 : 3540287566
Total Pages : 1051 pages
Book Rating : 4.5/5 (42 download)
Download or read book Artificial Neural Networks: Formal Models and Their Applications – ICANN 2005 written by Wlodzislaw Duch and published by Springer. This book was released on 2005-08-25 with total page 1051 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume is the first part of the two-volume proceedings of the International C- ference on Artificial Neural Networks (ICANN 2005), held on September 11–15, 2005 in Warsaw, Poland, with several accompanying workshops held on September 15, 2005 at the Nicolaus Copernicus University, Toru , Poland. The ICANN conference is an annual meeting organized by the European Neural Network Society in cooperation with the International Neural Network Society, the Japanese Neural Network Society, and the IEEE Computational Intelligence Society. It is the premier European event covering all topics concerned with neural networks and related areas. The ICANN series of conferences was initiated in 1991 and soon became the major European gathering for experts in those fields. In 2005 the ICANN conference was organized by the Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland, and the Nicolaus Copernicus Univ- sity, Toru , Poland. From over 600 papers submitted to the regular sessions and some 10 special c- ference sessions, the International Program Committee selected – after a thorough peer-review process – about 270 papers for publication. The large number of papers accepted is certainly a proof of the vitality and attractiveness of the field of artificial neural networks, but it also shows a strong interest in the ICANN conferences.
Author : John Shawe-Taylor
Publisher : Springer Science & Business Media
ISBN 13 : 3540222820
Total Pages : 657 pages
Book Rating : 4.5/5 (42 download)
Download or read book Learning Theory written by John Shawe-Taylor and published by Springer Science & Business Media. This book was released on 2004-06-17 with total page 657 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 17th Annual Conference on Learning Theory, COLT 2004, held in Banff, Canada in July 2004. The 46 revised full papers presented were carefully reviewed and selected from a total of 113 submissions. The papers are organized in topical sections on economics and game theory, online learning, inductive inference, probabilistic models, Boolean function learning, empirical processes, MDL, generalisation, clustering and distributed learning, boosting, kernels and probabilities, kernels and kernel matrices, and open problems.
Author : United States. Patent Office
Publisher :
ISBN 13 :
Total Pages : 2100 pages
Book Rating : 4.0/5 ( download)
Download or read book Official Gazette of the United States Patent Office written by United States. Patent Office and published by . This book was released on 1973 with total page 2100 pages. Available in PDF, EPUB and Kindle. Book excerpt:
