A Compendium of Machine Learning: Symbolic machine learning PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download A Compendium of Machine Learning: Symbolic machine learning PDF full book. Access full book title A Compendium of Machine Learning: Symbolic machine learning by Garry Briscoe. Download full books in PDF and EPUB format.
Author: Garry Briscoe
Publisher: Intellect (UK)
ISBN:
Category : Computers
Languages : en
Pages : 386
Get Book Here
Book Description
Machine learning is a relatively new branch of artificial intelligence. The field has undergone a significant period of growth in the 1990s, with many new areas of research and development being explored.
Author: Garry Briscoe
Publisher: Intellect (UK)
ISBN:
Category : Computers
Languages : en
Pages : 386
Get Book Here
Book Description
Machine learning is a relatively new branch of artificial intelligence. The field has undergone a significant period of growth in the 1990s, with many new areas of research and development being explored.
Author: P. Hitzler
Publisher: IOS Press
ISBN: 1643684078
Category : Computers
Languages : en
Pages : 706
Get Book Here
Book Description
If only it were possible to develop automated and trainable neural systems that could justify their behavior in a way that could be interpreted by humans like a symbolic system. The field of Neurosymbolic AI aims to combine two disparate approaches to AI; symbolic reasoning and neural or connectionist approaches such as Deep Learning. The quest to unite these two types of AI has led to the development of many innovative techniques which extend the boundaries of both disciplines. This book, Compendium of Neurosymbolic Artificial Intelligence, presents 30 invited papers which explore various approaches to defining and developing a successful system to combine these two methods. Each strategy has clear advantages and disadvantages, with the aim of most being to find some useful middle ground between the rigid transparency of symbolic systems and the more flexible yet highly opaque neural applications. The papers are organized by theme, with the first four being overviews or surveys of the field. These are followed by papers covering neurosymbolic reasoning; neurosymbolic architectures; various aspects of Deep Learning; and finally two chapters on natural language processing. All papers were reviewed internally before publication. The book is intended to follow and extend the work of the previous book, Neuro-symbolic artificial intelligence: The state of the art (IOS Press; 2021) which laid out the breadth of the field at that time. Neurosymbolic AI is a young field which is still being actively defined and explored, and this book will be of interest to those working in AI research and development.
Author:
Publisher: Elsevier
ISBN: 0080459404
Category : Mathematics
Languages : en
Pages : 660
Get Book Here
Book Description
Data Mining and Data Visualization focuses on dealing with large-scale data, a field commonly referred to as data mining. The book is divided into three sections. The first deals with an introduction to statistical aspects of data mining and machine learning and includes applications to text analysis, computer intrusion detection, and hiding of information in digital files. The second section focuses on a variety of statistical methodologies that have proven to be effective in data mining applications. These include clustering, classification, multivariate density estimation, tree-based methods, pattern recognition, outlier detection, genetic algorithms, and dimensionality reduction. The third section focuses on data visualization and covers issues of visualization of high-dimensional data, novel graphical techniques with a focus on human factors, interactive graphics, and data visualization using virtual reality. This book represents a thorough cross section of internationally renowned thinkers who are inventing methods for dealing with a new data paradigm. - Distinguished contributors who are international experts in aspects of data mining - Includes data mining approaches to non-numerical data mining including text data, Internet traffic data, and geographic data - Highly topical discussions reflecting current thinking on contemporary technical issues, e.g. streaming data - Discusses taxonomy of dataset sizes, computational complexity, and scalability usually ignored in most discussions - Thorough discussion of data visualization issues blending statistical, human factors, and computational insights
Author:
Publisher:
ISBN:
Category : Data mining
Languages : en
Pages : 396
Get Book Here
Book Description
Author: Petra Perner
Publisher: Springer
ISBN: 354044596X
Category : Computers
Languages : en
Pages : 373
Get Book Here
Book Description
This book constitutes the refereed proceedings of the Second International Workshop on Machine Learning and Data Mining in Pattern Recognition, MLDM 2001, held in Leipzig, Germany in July 2001. The 26 revised full papers presented together with two invited papers were carefully reviewed and selected for inclusion in the proceedings. The papers are organized in topical sections on case-based reasoning and associative memory; rule induction and grammars; clustering and conceptual clustering; data mining on signals, images, and spatio-temporal data; nonlinear function learning and neural net based learning; learning for handwriting recognition; statistical and evolutionary learning; and content-based image retrieval.
Author: Tarek R. Besold
Publisher: Springer Nature
ISBN: 303171167X
Category :
Languages : en
Pages : 441
Get Book Here
Book Description
Author: John Fulcher
Publisher: Springer
ISBN: 3540782931
Category : Technology & Engineering
Languages : en
Pages : 1182
Get Book Here
Book Description
Computational Intelligence: A Compendium presents a well structured overview about this rapidly growing field with contributions from leading experts in Computational Intelligence. The main focus of the compendium is on applied methods, tried-and-proven as being effective to realworld problems, which is especially useful for practitioners, researchers, students and also newcomers to the field. This state-of- handbook-style book has contributions by leading experts.
Author: Mohammad Shahid Husain
Publisher: Springer Nature
ISBN: 3030777464
Category : Technology & Engineering
Languages : en
Pages : 382
Get Book Here
Book Description
This book provides in depth knowledge about critical factors involved in the success of pervasive healthcare. The book first presents critical components and importance of pervasive healthcare. The authors then give insight into the pervasive healthcare information systems and key consideration related to remote patient monitoring and safety. The book provides in-depth discussion about the security issues and protocols for pervasive healthcare. This book explores concepts and techniques behind the successive pervasive healthcare systems by providing in-depth knowledge about patient empowerment, remote patient monitoring, network establishment and protocols for effective pervasive healthcare. The book also provides case studies in the field. It is an ideal resource for researchers, students and healthcare organizations to get insight about the state of the art in pervasive healthcare systems. Provides current research, developments, and applications in pervasive healthcare; Includes technologies such as machine learning, cryptography, fog computing, and big data in the advancement of e-healthcare; Pertinent for researchers, students, practitioners and healthcare decision makers.
Author: Ellis R. Levin
Publisher: Springer Science & Business Media
ISBN: 1461555698
Category : Medical
Languages : en
Pages : 768
Get Book Here
Book Description
Endocrinology of Cardiovascular Function is a fitting inauguration to the Endocrine Update Series. The aim of these publications is to provide the clinician with cutting edge, yet succinct, access to the latest advances in endocrinology. Historically, our understanding of hormonal disturbances was restricted to the classical secretory glands and their targets. As Endocrinology of Cardiovascular Function so aptly indicates, endocrinology is no longer constrained by our early physiologic understanding of glandular disorder. Endocrinology of Cardiovascular Function has set the standard of excellence for the future volumes in this series. Shlomo Melmed, M.D. Series Editor, Endocrine Update Growth factors such as IGF-1 play important roles in cardiovascular cell hypertrophy and the response to acute vascular injury. From another perspective, traditional endocrine hormones, such as estrogen, have been found to participate in preventing the development of atherosclerosis in women, acting through novel mechanisms on target vascular cells. Other `endocrine' hormones, such as PTHRP and adrenomedullin, also modulate cardiovascular and renovascular dynamic states, suggesting new roles for these peptides as vasodilators. This multi-authored text is dedicated to highlighting emerging and important new information regarding the endocrinology of the cardiovascular system. Ellis R. Levin, M.D.
Author: Gregory E. Kersten
Publisher: Springer Science & Business Media
ISBN: 0306475421
Category : Business & Economics
Languages : en
Pages : 423
Get Book Here
Book Description
In recent years, much work has been done in formulating and clarifying the concept of sustainable development and related theoretical and research issues. Now, the challenge has shifted to designing and stimulating processes of effective planning and decision-making, at all levels of human activity, in such a way as to achieve local and global sustainable development. Information technology can help a great deal in achieving sustainable development by providing well-designed and useful tools for decision makers. One such tool is the decision support system, or DSS. This book explores the area of DSS in the context of sustainable development. As DSS is a very new technique, especially in the developing world, this book will serve as a reference text, primarily for managers, government officials, and information professionals in developing countries. It covers the concept of sustainable development, defines DSS and how it can be used in the planning and management of sustainable development, and examines the state of the art in DSS use. Other interested readers will include students, teachers, and analysts in information sciences; DSS designers, developers, and implementors; and international development agencies.
