Advances in Artificial Intelligence. Pricai 2000 Workshop Reader PDF Download
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Author: Ryszard Kowalczyk
Publisher:
ISBN: 9783662164259
Category :
Languages : en
Pages : 380
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Book Description
Author: Ryszard Kowalczyk
Publisher:
ISBN: 9783662164259
Category :
Languages : en
Pages : 380
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Book Description
Author: Ryszard Kowalczyk
Publisher: Springer Science & Business Media
ISBN: 3540425977
Category : Computers
Languages : en
Pages : 362
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Book Description
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
Publisher: Springer
ISBN: 354045408X
Category : Computers
Languages : en
Pages : 361
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Book Description
Author: Gustavo Carneiro
Publisher: Elsevier
ISBN: 0443154422
Category : Computers
Languages : en
Pages : 314
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Book Description
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
Publisher: Springer Science & Business Media
ISBN: 3642212670
Category : Computers
Languages : en
Pages : 392
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Book Description
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
ISBN: 1792389884
Category : Technology & Engineering
Languages : en
Pages : 1411
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Book Description
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.
Publisher: IGI Global
ISBN: 1605663956
Category : Education
Languages : en
Pages : 332
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Book Description
"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: Salvador García
Publisher: Springer
ISBN: 3319102478
Category : Technology & Engineering
Languages : en
Pages : 320
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Book Description
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: Arthur James Wells
Publisher:
ISBN:
Category : Bibliography, National
Languages : en
Pages : 1896
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Book Description
Author:
Publisher:
ISBN:
Category : Bibliographical literature
Languages : en
Pages : 1088
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Book Description
