Knowledge Engineering Machine Learning And Lattice Computing With Applications


Knowledge Engineering Machine Learning And Lattice Computing With Applications
DOWNLOAD eBooks

Download Knowledge Engineering Machine Learning And Lattice Computing With Applications PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Knowledge Engineering Machine Learning And Lattice Computing With Applications book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page





Knowledge Engineering Machine Learning And Lattice Computing With Applications


Knowledge Engineering Machine Learning And Lattice Computing With Applications
DOWNLOAD eBooks

Author : Manuel Grana
language : en
Publisher: Springer
Release Date : 2013-03-20

Knowledge Engineering Machine Learning And Lattice Computing With Applications written by Manuel Grana and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-20 with Computers categories.


This book constitutes the refereed proceedings of the 16th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2012, held in San Sebastian, Spain, in September 2012. The 20 revised full papers presented were carefully reviewed and selected from 130 submissions. The papers are organized in topical sections on bioinspired and machine learning methods, machine learning applications, semantics and ontology based techniques, and lattice computing and games.



Advances In Knowledge Based And Intelligent Information And Engineering Systems


Advances In Knowledge Based And Intelligent Information And Engineering Systems
DOWNLOAD eBooks

Author : Manuel Graña
language : en
Publisher: IOS Press
Release Date : 2012

Advances In Knowledge Based And Intelligent Information And Engineering Systems written by Manuel Graña and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Computers categories.


In this 2012 edition of Advances in Knowledge-Based and Intelligent Information and Engineering Systems the latest innovations and advances in Intelligent Systems and related areas are presented by leading experts from all over the world. The 228 papers that are included cover a wide range of topics. One emphasis is on Information Processing, which has become a pervasive phenomenon in our civilization. While the majority of Information Processing is becoming intelligent in a very broad sense, major research in Semantics, Artificial Intelligence and Knowledge Engineering supports the domain specific applications that are becoming more and more present in our everyday living. Ontologies play a major role in the development of Knowledge Engineering in various domains, from Semantic Web down to the design of specific Decision Support Systems. Research on Ontologies and their applications is a highly active front of current Computational Intelligence science that is addressed here. Other subjects in this volume are modern Machine Learning, Lattice Computing and Mathematical Morphology.The wide scope and high quality of these contributions clearly show that knowledge engineering is a continuous living and evolving set of technologies aimed at improving the design and understanding of systems and their relations with humans.



Towards A Unified Modeling And Knowledge Representation Based On Lattice Theory


Towards A Unified Modeling And Knowledge Representation Based On Lattice Theory
DOWNLOAD eBooks

Author : Vassilis G. Kaburlasos
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-02-07

Towards A Unified Modeling And Knowledge Representation Based On Lattice Theory written by Vassilis G. Kaburlasos and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-02-07 with Computers categories.


This research monograph proposes a unified, cross-fertilizing approach for knowledge-representation and modeling based on lattice theory. The emphasis is on clustering, classification, and regression applications. It presents novel tools and useful perspectives for effective pattern classification. The material is multi-disciplinary based on on-going research published in major scientific journals and conferences.



Machine Learning Applications In Software Engineering


Machine Learning Applications In Software Engineering
DOWNLOAD eBooks

Author : Du Zhang
language : en
Publisher: World Scientific
Release Date : 2005

Machine Learning Applications In Software Engineering written by Du Zhang and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Computers categories.


A collection of previously published articles from a variety of publications.



Advanced Computational Methods For Knowledge Engineering


Advanced Computational Methods For Knowledge Engineering
DOWNLOAD eBooks

Author : Hoai An Le Thi
language : en
Publisher:
Release Date : 2015

Advanced Computational Methods For Knowledge Engineering written by Hoai An Le Thi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with categories.


This volume contains the extended versions of papers presented at the 3rd International Conference on Computer Science, Applied Mathematics and Applications (ICCSAMA 2015) held on 11-13 May, 2015 in Metz, France. The book contains 5 parts: 1. Mathematical programming and optimization: theory, methods and software, Operational research and decision making, Machine learning, data security, and bioinformatics, Knowledge information system, Software engineering. All chapters in the book discuss theoretical and algorithmic as well as practical issues connected with computation methods & optimization methods for knowledge engineering and machine learning techniques. .



Uncertainty Modeling In Knowledge Engineering And Decision Making


Uncertainty Modeling In Knowledge Engineering And Decision Making
DOWNLOAD eBooks

Author :
language : en
Publisher: World Scientific
Release Date : 2012

Uncertainty Modeling In Knowledge Engineering And Decision Making written by and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Computers categories.


FLINS, originally an acronym for Fuzzy Logic and Intelligent Technologies in Nuclear Science, is now extended to Computational Intelligence for applied research. The contributions to the 10th of FLINS conference cover state-of-the-art research, development, and technology for computational intelligence systems, both from the foundations and the applications points-of-view. Sample Chapter(s). Foreword (55 KB). Evaluation of Manufacturing Technology of Photovoltaic Cells (124 KB). Contents: Decision Making and Decision Support Systems; Uncertainty Modeling; Foundations of Computational Intelligence; Statistics, Data Analysis and Data Mining; Intelligent Information Processing; Productivity and Reliability; Applied Research. Readership: Graduate students, researchers, and academics in artificial intelligence/machine learning, information management, decision sciences, databases/information sciences and fuzzy logic.



Innovations In Intelligent Machines 4


Innovations In Intelligent Machines 4
DOWNLOAD eBooks

Author : Colette Faucher
language : en
Publisher: Springer
Release Date : 2013-11-18

Innovations In Intelligent Machines 4 written by Colette Faucher and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-11-18 with Technology & Engineering categories.


This research volume is a continuation of our previous volumes on intelligent machine. It is divided into three parts. Part I deals with big data and ontologies. It includes examples related to the text mining, rule mining and ontology. Part II is on knowledge-based systems. It includes context-centered systems, knowledge discovery, interoperability, consistency and systems of systems. The final part is on applications. The applications involve prediction, decision optimization and assessment. This book is directed to the researchers who wish to explore the field of knowledge engineering further.



Foundations Of Knowledge Acquisition


Foundations Of Knowledge Acquisition
DOWNLOAD eBooks

Author : Alan L. Meyrowitz
language : en
Publisher: Springer Science & Business Media
Release Date : 1993-01-31

Foundations Of Knowledge Acquisition written by Alan L. Meyrowitz and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993-01-31 with Computers categories.


One of the most intriguing questions about the new computer technology that has appeared over the past few decades is whether we humans will ever be able to make computers learn. As is painfully obvious to even the most casual computer user, most current computers do not. Yet if we could devise learning techniques that enable computers to routinely improve their performance through experience, the impact would be enormous. The result would be an explosion of new computer applications that would suddenly become economically feasible (e. g. , personalized computer assistants that automatically tune themselves to the needs of individual users), and a dramatic improvement in the quality of current computer applications (e. g. , imagine an airline scheduling program that improves its scheduling method based on analyzing past delays). And while the potential economic impact of successful learning methods is sufficient reason to invest in research into machine learning, there is a second significant reason: studying machine learning helps us understand our own human learning abilities and disabilities, leading to the possibility of improved methods in education. While many open questions remain about the methods by which machines and humans might learn, significant progress has been made.



Advanced Computational Methods For Knowledge Engineering


Advanced Computational Methods For Knowledge Engineering
DOWNLOAD eBooks

Author : Ngoc Thanh Nguyen
language : en
Publisher: Springer
Release Date : 2013-03-22

Advanced Computational Methods For Knowledge Engineering written by Ngoc Thanh Nguyen and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-22 with Technology & Engineering categories.


The book consists of 29 extended chapters which have been selected and invited from the submissions to the 1st International Conference on Computer Science, Applied Mathematics and Applications (ICCSAMA 2013) held on 9-10 May, 2013 in Warsaw, Poland. The book is organized into five parts, which are: Advanced Optimization Methods and Their Applications, Queuing Theory and Applications, Computational Methods for Knowledge Engineering, Knowledge Engineering with Cloud and Grid Computing, and Logic Based Methods for Decision Making and Data Mining, respectively. All chapters in the book discuss theoretical and practical issues connected with computational methods and optimization methods for knowledge engineering.



Prediction And Analysis For Knowledge Representation And Machine Learning


Prediction And Analysis For Knowledge Representation And Machine Learning
DOWNLOAD eBooks

Author : Avadhesh Kumar
language : en
Publisher: CRC Press
Release Date : 2022-01-31

Prediction And Analysis For Knowledge Representation And Machine Learning written by Avadhesh Kumar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-31 with Computers categories.


A number of approaches are being defined for statistics and machine learning. These approaches are used for the identification of the process of the system and the models created from the system’s perceived data, assisting scientists in the generation or refinement of current models. Machine learning is being studied extensively in science, particularly in bioinformatics, economics, social sciences, ecology, and climate science, but learning from data individually needs to be researched more for complex scenarios. Advanced knowledge representation approaches that can capture structural and process properties are necessary to provide meaningful knowledge to machine learning algorithms. It has a significant impact on comprehending difficult scientific problems. Prediction and Analysis for Knowledge Representation and Machine Learning demonstrates various knowledge representation and machine learning methodologies and architectures that will be active in the research field. The approaches are reviewed with real-life examples from a wide range of research topics. An understanding of a number of techniques and algorithms that are implemented in knowledge representation in machine learning is available through the book’s website. Features: Examines the representational adequacy of needed knowledge representation Manipulates inferential adequacy for knowledge representation in order to produce new knowledge derived from the original information Improves inferential and acquisition efficiency by applying automatic methods to acquire new knowledge Covers the major challenges, concerns, and breakthroughs in knowledge representation and machine learning using the most up-to-date technology Describes the ideas of knowledge representation and related technologies, as well as their applications, in order to help humankind become better and smarter This book serves as a reference book for researchers and practitioners who are working in the field of information technology and computer science in knowledge representation and machine learning for both basic and advanced concepts. Nowadays, it has become essential to develop adaptive, robust, scalable, and reliable applications and also design solutions for day-to-day problems. The edited book will be helpful for industry people and will also help beginners as well as high-level users for learning the latest things, which includes both basic and advanced concepts.