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Author : Ryszard Kowalczyk,Seng W. Loke,Nancy E. Reed
Publisher : Unknown
Page : 380 pages
File Size : 49,6 Mb
Release : 2014-01-15
Category : Electronic
ISBN : 3662164256
Author : Ryszard Kowalczyk
Publisher : Springer Science & Business Media
Page : 362 pages
File Size : 48,6 Mb
Release : 2001-10-02
Category : Computers
ISBN : 9783540425977
This book constitutes the thoroughly refereed joint post-proceedings of four workshops held during the Pacific Rim International Conference on Artificial Intelligence, PRICAI 2000, held in Melbourne, Australia, in August/September 2000. The 32 revised full papers presented were carefully selected during two rounds of reviewing and revision. In accordance with the four workshops represented, the book is organized in topical sections on applications of artificial intelligence in industry, artificial intelligence in electronic commerce, intelligent information agents, and teamwork and adjustable autonomy in agents.
Author : Ryszard Kowalczyk,Seng W. Loke,Nancy E. Reed,Graham Williams
Publisher : Springer
Page : 361 pages
File Size : 48,7 Mb
Release : 2003-06-29
Category : Computers
ISBN : 9783540454083
Author : Gustavo Carneiro
Publisher : Elsevier
Page : 314 pages
File Size : 51,7 Mb
Release : 2024-03-01
Category : Computers
ISBN : 9780443154423
Most of the modern machine learning models, based on deep learning techniques, depend on carefully curated and cleanly labelled training sets to be reliably trained and deployed. However, the expensive labelling process involved in the acquisition of such training sets limits the number and size of datasets available to build new models, slowing down progress in the field. Alternatively, many poorly curated training sets containing noisy labels are readily available to be used to build new models. However, the successful exploration of such noisy-label training sets depends on the development of algorithms and models that are robust to these noisy labels. Machine learning and Noisy Labels: Definitions, Theory, Techniques and Solutions defines different types of label noise, introduces the theory behind the problem, presents the main techniques that enable the effective use of noisy-label training sets, and explains the most accurate methods developed in the field. This book is an ideal introduction to machine learning with noisy labels suitable for senior undergraduates, post graduate students, researchers and practitioners using, and researching into, machine learning methods. Shows how to design and reproduce regression, classification and segmentation models using large-scale noisy-label training sets Gives an understanding of the theory of, and motivation for, noisy-label learning Shows how to classify noisy-label learning methods into a set of core techniques
Author : Marina De Vos,Nicoletta Fornara,Jeremy V. Pitt,George Vouros
Publisher : Springer Science & Business Media
Page : 392 pages
File Size : 53,8 Mb
Release : 2011-05-26
Category : Computers
ISBN : 9783642212673
This book constitutes the thoroughly reviewed joint postprocessings of two international workshops on Coordination, Organization, Institutions and Norms in Agent Systems, COIN@AAMAS 2010, held in Toronto, Canada in May 2010 and COIN@MALLOW 2010, held in Lyon, France in August 2010. The 20 revised full papers presented went through several rounds of reviewing and revision and were carefully selected for presentations. The papers are organized in topical sections on normative systems design and modeling; social aspects; and norms at runtime: learning and enforcing.
Author : Tareq Ahram, Waldemar Karwowski, Pepetto Di Bucchianico, Redha Taiar, Luca Casarotto and Pietro Costa
Publisher : AHFE International
Page : 1411 pages
File Size : 54,9 Mb
Release : 2022-02-24
Category : Technology & Engineering
ISBN : 9781792389887
Proceedings of the 5th International Conference on Intelligent Human Systems Integration (IHSI 2022): Integrating People and Intelligent Systems, February 22–24, 2022, Venice, Italy
Author : Pattinson, Hugh M.,Low, David R.
Publisher : IGI Global
Page : 332 pages
File Size : 43,8 Mb
Release : 2011-05-31
Category : Education
ISBN : 9781605663951
"This book highlights new business products, services, strategies, and philosophies drawn from an emerging collaborative information platform and explores connections between the development of new e-business technologies with consumers, businesses, and links to social and political visions and strategies"--Provided by publisher.
Author : Arthur James Wells
Publisher : Unknown
Page : 1896 pages
File Size : 41,6 Mb
Release : 2002
Category : Bibliography, National
ISBN : UOM:39015079755933
Author : Salvador García,Julián Luengo,Francisco Herrera
Publisher : Springer
Page : 327 pages
File Size : 53,9 Mb
Release : 2014-08-30
Category : Technology & Engineering
ISBN : 9783319102474
Data Preprocessing for Data Mining addresses one of the most important issues within the well-known Knowledge Discovery from Data process. Data directly taken from the source will likely have inconsistencies, errors or most importantly, it is not ready to be considered for a data mining process. Furthermore, the increasing amount of data in recent science, industry and business applications, calls to the requirement of more complex tools to analyze it. Thanks to data preprocessing, it is possible to convert the impossible into possible, adapting the data to fulfill the input demands of each data mining algorithm. Data preprocessing includes the data reduction techniques, which aim at reducing the complexity of the data, detecting or removing irrelevant and noisy elements from the data. This book is intended to review the tasks that fill the gap between the data acquisition from the source and the data mining process. A comprehensive look from a practical point of view, including basic concepts and surveying the techniques proposed in the specialized literature, is given.Each chapter is a stand-alone guide to a particular data preprocessing topic, from basic concepts and detailed descriptions of classical algorithms, to an incursion of an exhaustive catalog of recent developments. The in-depth technical descriptions make this book suitable for technical professionals, researchers, senior undergraduate and graduate students in data science, computer science and engineering.
Author : Riichiro Mizoguchi,John Slaney
Publisher : Springer
Page : 858 pages
File Size : 55,9 Mb
Release : 2007-12-07
Category : Computers
ISBN : 9783540445333
PRICAI 2000, held in Melbourne, Australia, is the sixth Pacific Rim Interna tional Conference on Artificial Intelligence and is the successor to the five earlier PRICAIs held in Nagoya (Japan), Seoul (Korea), Beijing (China), Cairns (Aus tralia) and Singapore in the years 1990, 1992, 1994, 1996 and 1998 respectively. PRICAI is the leading conference in the Pacific Rim region for the presenta tion of research in Artificial Intelligence, including its applications to problems of social and economic importance. The objectives of PRICAI are: To provide a forum for the introduction and discussion of new research results, concepts and technologies; To provide practising engineers with exposure to and an evaluation of evolving research, tools and practices; To provide the research community with exposure to the problems of practical applications of AI; and To encourage the exchange of AI technologies and experience within the Pacific Rim countries. PRICAI 2000 is a memorial event in the sense that it is the last one in the 20"" century. It reflects what researchers in this region believe to be promising for their future AI research activities. In fact, some salient features can be seen in the papers accepted. We have 12 papers on agents, while PRICAI 96 and 98 had no more than two or three. This suggests to us one of the directions in which AI research is going in the next century. It is true that agent research provides us with a wide range of research subjects from basic ones to applications.
Author : Anonim
Publisher : Unknown
Page : 1088 pages
File Size : 44,5 Mb
Release : 2004
Category : Bibliographical literature
ISBN : UOM:39015079882596
Author : Howard J. Hamilton
Publisher : Springer
Page : 448 pages
File Size : 54,7 Mb
Release : 2003-06-26
Category : Computers
ISBN : 9783540454861
This book constitutes the refereed proceedings of the 13th Biennial Conference of the Canadian Society for Computational Studies of Intelligence, AI 2000, held in Montreal, Quebec, Canada, in May 2000. The 25 revised full papers presented together with 12 10-page posters were carefully reviewed and selected from more than 70 submissions. The papers are organized in topical sections on games and constraint satisfaction; natural language processing; knowledge representation; AI applications; machine learning and data mining; planning, theorem proving, and artificial life; and neural networks.
Author : Anonim
Publisher : Unknown
Page : 772 pages
File Size : 50,5 Mb
Release : 2006
Category : Telecommunication
ISBN : NYPL:33433082973391
Author : Howard J. Hamilton
Publisher : Springer
Page : 448 pages
File Size : 44,8 Mb
Release : 2000-05-11
Category : Computers
ISBN : 3540675574
This book constitutes the refereed proceedings of the 13th Biennial Conference of the Canadian Society for Computational Studies of Intelligence, AI 2000, held in Montreal, Quebec, Canada, in May 2000. The 25 revised full papers presented together with 12 10-page posters were carefully reviewed and selected from more than 70 submissions. The papers are organized in topical sections on games and constraint satisfaction; natural language processing; knowledge representation; AI applications; machine learning and data mining; planning, theorem proving, and artificial life; and neural networks.
Author : Canadian Society for Computational Studies of Intelligence. Conference,Ahmed Y. Tawfik,Scott Goodwin
Publisher : Springer Science & Business Media
Page : 595 pages
File Size : 41,8 Mb
Release : 2004-05-06
Category : Computers
ISBN : 9783540220046
This book constitutes the refereed proceedings of the 17th Conference of the Canadian Society for Computational Studies of Intelligence, Canadian AI 2004, held in London, Ontario, Canada in May 2004. The 29 revised full papers and 22 revised short papers were carefully reviewed and selected from 105 submissions. These papers are presented together with the extended abstracts of 14 contributions to the graduate students' track. The full papers are organized in topical sections on agents, natural language processing, learning, constraint satisfaction and search, knowledge representation and reasoning, uncertainty, and neural networks.
