Author : Shai Shalev-Shwartz
Publisher : Cambridge University Press
Page : 415 pages
File Size : 31,57 MB
Release : 2014-05-19
Category : Computers
ISBN : 1107057132
Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying their usage.
Author : Ghislaine Pellat
Publisher : Springer Nature
Page : 370 pages
File Size : 16,99 MB
Release : 2023-12-12
Category : Technology & Engineering
ISBN : 3031422538
In this book, the ERECO-PGV[1] network wishes to make an overview of the cooperation implemented by and in the European Union and to describe the concrete forms they have taken. The issue is to analyze the internal European cooperation between economic actors, politicians, and EU citizens at different levels, but also to focus attention on the external cooperation (neighborhood policies, external policies, and collaborations with international institutions: NATO, OECD, WTO, etc.). Carrying uncompromising attention on this issue means rethinking the European project in light of today's challenges. From the very beginning, the EU was based on and called for forms of multinational cooperation, bilateral (internal and external) at different levels, involving economic actors, public actors, local authorities, and civil society. The frameworks for this cooperation as well as for the successive enlargements of the EU were drawn up in the context of European negotiations, in particular during discussions on the European Treaties. European values, standards, and rules are embodied in the texts of agreements, resolutions, and European directives and Treaties signed by all member countries. They establish the functioning of European institutions and the framework of democratic life in Europe. The emergence of current crises (Brexit, COVID-19, migration crisis, non-respect of rule of law rules, refusal of certain member countries to apply the European Charter of Human Rights, etc.) is questioning the project of the European Union and introduced the challenges which should be overcome by the proposal of the new project able to face the internal complexity of the Union and to answer to the pressure of a conflicting international context. What remains of the European ideal affirmed in the treaties of 1957, 1992, and 2007? How to "re-enchant" the common project? Yet, the European Union remains attractive to new candidate countries. How do they read the integration conditions into the EU with regard to their own projects?
Author : Joab Winkler
Publisher : Springer Science & Business Media
Page : 347 pages
File Size : 23,37 MB
Release : 2005-10-11
Category : Computers
ISBN : 3540290737
This book consitutes the refereed proceedings of the First International Workshop on Machine Learning held in Sheffield, UK, in September 2004. The 19 revised full papers presented were carefully reviewed and selected for inclusion in the book. They address all current issues in the rapidly maturing field of machine learning that aims to provide practical methods for data discovery, categorisation and modelling. The particular focus of the workshop was advanced research methods in machine learning and statistical signal processing.
Author :
Publisher : ScholarlyEditions
Page : 1887 pages
File Size : 36,54 MB
Release : 2013-05-01
Category : Computers
ISBN : 1490111212
Issues in Artificial Intelligence, Robotics and Machine Learning: 2013 Edition is a ScholarlyEditions™ book that delivers timely, authoritative, and comprehensive information about Expert Systems. The editors have built Issues in Artificial Intelligence, Robotics and Machine Learning: 2013 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Expert Systems in this book to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Issues in Artificial Intelligence, Robotics and Machine Learning: 2013 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.
Author : Sandro Skansi
Publisher : Springer Nature
Page : 144 pages
File Size : 29,29 MB
Release : 2020-01-23
Category : Computers
ISBN : 3030375919
This stimulating text/reference presents a philosophical exploration of the conceptual foundations of deep learning, presenting enlightening perspectives that encompass such diverse disciplines as computer science, mathematics, logic, psychology, and cognitive science. The text also highlights select topics from the fascinating history of this exciting field, including the pioneering work of Rudolf Carnap, Warren McCulloch, Walter Pitts, Bulcsú László, and Geoffrey Hinton. Topics and features: Provides a brief history of mathematical logic, and discusses the critical role of philosophy, psychology, and neuroscience in the history of AI Presents a philosophical case for the use of fuzzy logic approaches in AI Investigates the similarities and differences between the Word2vec word embedding algorithm, and the ideas of Wittgenstein and Firth on linguistics Examines how developments in machine learning provide insights into the philosophical challenge of justifying inductive inferences Debates, with reference to philosophical anthropology, whether an advanced general artificial intelligence might be considered as a living being Investigates the issue of computational complexity through deep-learning strategies for understanding AI-complete problems and developing strong AI Explores philosophical questions at the intersection of AI and transhumanism This inspirational volume will rekindle a passion for deep learning in those already experienced in coding and studying this discipline, and provide a philosophical big-picture perspective for those new to the field.
Author : Maria Han Veiga
Publisher : Walter de Gruyter GmbH & Co KG
Page : 210 pages
File Size : 10,54 MB
Release : 2024-05-20
Category : Mathematics
ISBN : 3111288994
This book is an introduction to machine learning, with a strong focus on the mathematics behind the standard algorithms and techniques in the field, aimed at senior undergraduates and early graduate students of Mathematics. There is a focus on well-known supervised machine learning algorithms, detailing the existing theory to provide some theoretical guarantees, featuring intuitive proofs and exposition of the material in a concise and precise manner. A broad set of topics is covered, giving an overview of the field. A summary of the topics covered is: statistical learning theory, approximation theory, linear models, kernel methods, Gaussian processes, deep neural networks, ensemble methods and unsupervised learning techniques, such as clustering and dimensionality reduction. This book is suited for students who are interested in entering the field, by preparing them to master the standard tools in Machine Learning. The reader will be equipped to understand the main theoretical questions of the current research and to engage with the field.
Author : Kah Phooi Seng
Publisher : Springer
Page : 391 pages
File Size : 14,7 MB
Release : 2019-07-18
Category : Computers
ISBN : 3319975986
This edited book will serve as a source of reference for technologies and applications for multimodality data analytics in big data environments. After an introduction, the editors organize the book into four main parts on sentiment, affect and emotion analytics for big multimodal data; unsupervised learning strategies for big multimodal data; supervised learning strategies for big multimodal data; and multimodal big data processing and applications. The book will be of value to researchers, professionals and students in engineering and computer science, particularly those engaged with image and speech processing, multimodal information processing, data science, and artificial intelligence.
Author : Mowafa Househ
Publisher : Springer Nature
Page : 198 pages
File Size : 39,75 MB
Release : 2021-08-05
Category : Technology & Engineering
ISBN : 3030673030
This book offers a comprehensive yet concise overview of the challenges and opportunities presented by the use of artificial intelligence in healthcare. It does so by approaching the topic from multiple perspectives, e.g. the nursing, consumer, medical practitioner, healthcare manager, and data analyst perspective. It covers human factors research, discusses patient safety issues, and addresses ethical challenges, as well as important policy issues. By reporting on cutting-edge research and hands-on experience, the book offers an insightful reference guide for health information technology professionals, healthcare managers, healthcare practitioners, and patients alike, aiding them in their decision-making processes. It will also benefit students and researchers whose work involves artificial intelligence-related research issues in healthcare.
Author :
Publisher : Newnes
Page : 551 pages
File Size : 34,86 MB
Release : 2013-05-16
Category : Computers
ISBN : 0444538666
Statistical learning and analysis techniques have become extremely important today, given the tremendous growth in the size of heterogeneous data collections and the ability to process it even from physically distant locations. Recent advances made in the field of machine learning provide a strong framework for robust learning from the diverse corpora and continue to impact a variety of research problems across multiple scientific disciplines. The aim of this handbook is to familiarize beginners as well as experts with some of the recent techniques in this field.The Handbook is divided in two sections: Theory and Applications, covering machine learning, data analytics, biometrics, document recognition and security. - Very relevant to current research challenges faced in various fields - Self-contained reference to machine learning - Emphasis on applications-oriented techniques
Author : Joost N. Kok
Publisher : Springer
Page : 660 pages
File Size : 50,7 MB
Release : 2007-08-30
Category : Computers
ISBN : 3540749764
This book constitutes the refereed proceedings of the 11th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 2007, held in Warsaw, Poland, co-located with ECML 2007, the 18th European Conference on Machine Learning. The 28 revised full papers and 35 revised short papers present original results on leading-edge subjects of knowledge discovery from conventional and complex data and address all current issues in the area.
