Knowledge Engineering Machine Learning And Lattice Computing With Applications

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Knowledge Engineering, Machine Learning and Lattice Computing with Applications

Manuel Grana,Carlos Toro,Robert J. Howlett,Lakhmi C Jain
Knowledge Engineering Machine Learning and Lattice Computing with Applications Book PDF

Author : Manuel Grana,Carlos Toro,Robert J. Howlett,Lakhmi C Jain
Publisher : Springer
Page : 214 pages
File Size : 41,8 Mb
Release : 2013-03-20
Category : Computers
ISBN : 9783642373435

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Knowledge Engineering, Machine Learning and Lattice Computing with Applications by Manuel Grana,Carlos Toro,Robert J. Howlett,Lakhmi C Jain Pdf

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

Manuel Graña
Advances in Knowledge Based and Intelligent Information and Engineering Systems Book PDF

Author : Manuel Graña
Publisher : IOS Press
Page : 2307 pages
File Size : 54,7 Mb
Release : 2012
Category : Computers
ISBN : 9781614991045

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Advances in Knowledge-Based and Intelligent Information and Engineering Systems by Manuel Graña Pdf

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

Vassilis G. Kaburlasos
Towards a Unified Modeling and Knowledge Representation based on Lattice Theory Book PDF

Author : Vassilis G. Kaburlasos
Publisher : Springer Science & Business Media
Page : 245 pages
File Size : 44,6 Mb
Release : 2007-02-07
Category : Computers
ISBN : 9783540341703

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Towards a Unified Modeling and Knowledge-Representation based on Lattice Theory by Vassilis G. Kaburlasos Pdf

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.

Data Science and Knowledge Engineering for Sensing Decision Support

Jun Liu,Jie Lu,Yang Xu,Luis Martinez,Etienne E Kerre
Data Science and Knowledge Engineering for Sensing Decision Support Book PDF

Author : Jun Liu,Jie Lu,Yang Xu,Luis Martinez,Etienne E Kerre
Publisher : World Scientific
Page : 1624 pages
File Size : 46,8 Mb
Release : 2018-07-26
Category : Computers
ISBN : 9789813273245

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Data Science and Knowledge Engineering for Sensing Decision Support by Jun Liu,Jie Lu,Yang Xu,Luis Martinez,Etienne E Kerre Pdf

FLINS, originally an acronym for Fuzzy Logic and Intelligent Technologies in Nuclear Science, is now extended to include Computational Intelligence for applied research. The contributions of the FLINS conference cover state-of-the-art research, development, and technology for computational intelligence systems, with special focuses on data science and knowledge engineering for sensing decision support, both from the foundations and the applications points-of-view.

Machine Learning Applications In Software Engineering

Du Zhang,Jeffrey J P Tsai
Machine Learning Applications In Software Engineering Book PDF

Author : Du Zhang,Jeffrey J P Tsai
Publisher : World Scientific
Page : 367 pages
File Size : 46,9 Mb
Release : 2005-02-21
Category : Computers
ISBN : 9789814481427

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Machine Learning Applications In Software Engineering by Du Zhang,Jeffrey J P Tsai Pdf

Machine learning deals with the issue of how to build computer programs that improve their performance at some tasks through experience. Machine learning algorithms have proven to be of great practical value in a variety of application domains. Not surprisingly, the field of software engineering turns out to be a fertile ground where many software development and maintenance tasks could be formulated as learning problems and approached in terms of learning algorithms. This book deals with the subject of machine learning applications in software engineering. It provides an overview of machine learning, summarizes the state-of-the-practice in this niche area, gives a classification of the existing work, and offers some application guidelines. Also included in the book is a collection of previously published papers in this research area.

Foundations of Knowledge Acquisition

Alan L. Meyrowitz,Susan Chipman
Foundations of Knowledge Acquisition Book PDF

Author : Alan L. Meyrowitz,Susan Chipman
Publisher : Springer Science & Business Media
Page : 341 pages
File Size : 52,6 Mb
Release : 1993-01-31
Category : Computers
ISBN : 9780792392781

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Foundations of Knowledge Acquisition by Alan L. Meyrowitz,Susan Chipman Pdf

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.

Knowledge Acquisition and Machine Learning

Katharina Morik
Knowledge Acquisition and Machine Learning Book PDF

Author : Katharina Morik
Publisher : Academic Press
Page : 344 pages
File Size : 47,5 Mb
Release : 1993-09-13
Category : Computers
ISBN : UOM:39015033089098

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Knowledge Acquisition and Machine Learning by Katharina Morik Pdf

For graduate-/research- level students and professors, this book integrates machine learning with knowledge acquisition to overcome the problems of building models for knowledge-based systems to maintain them successfully. It also reports on BLIP and MOBAL systems developed over the last decade, which illustrate a particular way of unifying knowledge acquisition and machine learning. Practically-orientated, theoretical skills have been used and tested in real-world applications. Integrates machine learning with knowledge acquisition to overcome the problems of building models for knowledge based systems to maintain them successfully Reports on BLIP and MOBAL systems that have been developed over the past 10 years, which illustrate a particular way of unifying knowledge acquisition and machine learning Practically oriented--theoretical results have been used and tested in real-world applications from the start

Innovations in Intelligent Machines-4

Colette Faucher,Lakhmi C. Jain
Innovations in Intelligent Machines 4 Book PDF

Author : Colette Faucher,Lakhmi C. Jain
Publisher : Springer
Page : 412 pages
File Size : 52,6 Mb
Release : 2013-11-18
Category : Technology & Engineering
ISBN : 9783319018669

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Innovations in Intelligent Machines-4 by Colette Faucher,Lakhmi C. Jain Pdf

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.

Advanced Computational Methods for Knowledge Engineering

Hoai An Le Thi,Ngoc Thanh Nguyen,Tien Van Do
Advanced Computational Methods for Knowledge Engineering Book PDF

Author : Hoai An Le Thi,Ngoc Thanh Nguyen,Tien Van Do
Publisher : Springer
Page : 416 pages
File Size : 45,6 Mb
Release : 2015-05-04
Category : Technology & Engineering
ISBN : 9783319179964

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Advanced Computational Methods for Knowledge Engineering by Hoai An Le Thi,Ngoc Thanh Nguyen,Tien Van Do Pdf

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.

Information, Computer and Application Engineering

Hsiang-Chuan Liu,Wen-Pei Sung,Wenli Yao
Information Computer and Application Engineering Book PDF

Author : Hsiang-Chuan Liu,Wen-Pei Sung,Wenli Yao
Publisher : CRC Press
Page : 1146 pages
File Size : 48,8 Mb
Release : 2018-06-12
Category : Computers
ISBN : 9780429785528

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Information, Computer and Application Engineering by Hsiang-Chuan Liu,Wen-Pei Sung,Wenli Yao Pdf

This proceedings volume brings together peer-reviewed papers presented at the International Conference on Information Technology and Computer Application Engineering, held 10-11 December 2014, in Hong Kong, China. Specific topics under consideration include Computational Intelligence, Computer Science and its Applications, Intelligent Information Processing and Knowledge Engineering, Intelligent Networks and Instruments, Multimedia Signal Processing and Analysis, Intelligent Computer-Aided Design Systems and other related topics. This book provides readers a state-of-the-art survey of recent innovations and research worldwide in Information Technology and Computer Application Engineering, in so-doing furthering the development and growth of these research fields, strengthening international academic cooperation and communication, and promoting the fruitful exchange of research ideas. This volume will be of interest to professionals and academics alike, serving as a broad overview of the latest advances in the dynamic field of Information Technology and Computer Application Engineering.

Advanced Techniques for Knowledge Engineering and Innovative Applications

Jeffrey Tweedale,Lakhmi C. Jain
Advanced Techniques for Knowledge Engineering and Innovative Applications Book PDF

Author : Jeffrey Tweedale,Lakhmi C. Jain
Publisher : Springer
Page : 311 pages
File Size : 50,8 Mb
Release : 2013-12-13
Category : Computers
ISBN : 9783642420177

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Advanced Techniques for Knowledge Engineering and Innovative Applications by Jeffrey Tweedale,Lakhmi C. Jain Pdf

This book constitutes the thoroughly refereed proceedings of the 16th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2012, held in San Sebastian, Spain, in September 2012. The 21 revised papers were carefully reviewed and selected from 254 submissions. Topics of interest include the exploitation of AI techniques, most recent research in information technologies and dynamic ontologies.

Prediction and Analysis for Knowledge Representation and Machine Learning

Avadhesh Kumar,Shrddha Sagar,T Ganesh Kumar,K Sampath Kumar
Prediction and Analysis for Knowledge Representation and Machine Learning Book PDF

Author : Avadhesh Kumar,Shrddha Sagar,T Ganesh Kumar,K Sampath Kumar
Publisher : CRC Press
Page : 216 pages
File Size : 52,6 Mb
Release : 2022-01-31
Category : Computers
ISBN : 9781000484229

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Prediction and Analysis for Knowledge Representation and Machine Learning by Avadhesh Kumar,Shrddha Sagar,T Ganesh Kumar,K Sampath Kumar Pdf

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.

Wisdom Web of Things

Ning Zhong,Jianhua Ma,Jiming Liu,Runhe Huang,Xiaohui Tao
Wisdom Web of Things Book PDF

Author : Ning Zhong,Jianhua Ma,Jiming Liu,Runhe Huang,Xiaohui Tao
Publisher : Springer
Page : 349 pages
File Size : 55,7 Mb
Release : 2016-11-07
Category : Computers
ISBN : 9783319441986

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Wisdom Web of Things by Ning Zhong,Jianhua Ma,Jiming Liu,Runhe Huang,Xiaohui Tao Pdf

This book provides a thorough overview of the Wisdom Web of Things (W2T), a holistic framework for computing and intelligence in an emerging hyper-world with a social-cyber-physical space. Fast-evolving Web intelligence research and development initiatives are now moving toward understanding the multifaceted nature of intelligence and incorporating it at the Web scale in a ubiquitous environment with data, connection and service explosion. The book focuses on the framework and methodology of W2T, as well as its applications in different problem domains, such as intelligent businesses, urban computing, social computing, brain informatics and healthcare. From the researcher and developer perspectives, the book takes a systematic, structured view of various W2T facets and their overall contribution to the development of W2T as a whole. Written by leading international researchers, this book is an essential reference for researchers, educators, professionals, and tertiary HDR students working on the World Wide Web, ubiquitous computing, knowledge management, and business intelligence.

Mapping Forest Landscape Patterns

Tarmo K. Remmel,Ajith H. Perera
Mapping Forest Landscape Patterns Book PDF

Author : Tarmo K. Remmel,Ajith H. Perera
Publisher : Springer
Page : 326 pages
File Size : 50,5 Mb
Release : 2017-09-07
Category : Science
ISBN : 9781493973316

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Mapping Forest Landscape Patterns by Tarmo K. Remmel,Ajith H. Perera Pdf

This book explores the concepts, premises, advancements, and challenges in quantifying natural forest landscape patterns through mapping techniques. After several decades of development and use, these tools can now be examined for their foundations, intentions, scope, advancements, and limitations. When applied to natural forest landscapes, mapping techniques must address concepts such as stochasticity, heterogeneity, scale dependence, non-Euclidean geometry, continuity, non-linearity, and parsimony, as well as be explicit about the intended degree of abstraction and assumptions. These studies focus on quantifying natural (i.e., non-human engineered) forest landscape patterns, because those patterns are not planned, are relatively complex, and pose the greatest challenges in cartography, and landscape representation for further interpretation and analysis.

Set-theoretic Fault-tolerant Control in Multisensor Systems

Florin Stoican,Sorin Olaru
Set theoretic Fault tolerant Control in Multisensor Systems Book PDF

Author : Florin Stoican,Sorin Olaru
Publisher : John Wiley & Sons
Page : 178 pages
File Size : 51,7 Mb
Release : 2013-06-24
Category : Technology & Engineering
ISBN : 9781848215658

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Set-theoretic Fault-tolerant Control in Multisensor Systems by Florin Stoican,Sorin Olaru Pdf

Fault-tolerant control theory is a well-studied topic but the use of the sets in detection, isolation and/or reconfiguration is rather tangential. The authors of this book propose a systematic analysis of the set-theoretic elements and devise approaches which exploit advanced elements within the field. The main idea is to translate fault detection and isolation conditions into those conditions involving sets. Furthermore, these are to be computed efficiently using positive invariance and reachability notions. Constraints imposed by exact fault control are used to define feasible references (which impose persistent excitation and, thus, non-convex feasible sets). Particular attention is given to the reciprocal influences between fault detection and isolation on the one hand, and control reconfiguration on the other. Contents 1. State of the Art in Fault-tolerant Control 2. Fault Detection and Isolation in Multisensor Systems 3. Residual Generation and Reference Governor Design 4. Reconfiguration of the Control Mechanism for Fault-tolerant Control 5. Related Problems and Applications About the Authors Florin Stoican received a B.E. degree from the “Politehnica” University of Bucharest, Romania, in 2008 and his PhD from SUPELEC, France in 2011. He held an ERCIM Postdoctoral Fellowship with NTNU Trondheim, Norway, in 2012, and is currently Assistant Professor at “Politehnica” University of Bucharest. His main interest is the fault tolerant control of dynamical systems through the prism of set theoretic elements. His current work involves further results in set theory and constrained optimization problems. Sorin Olaru received an M.S. degree from the “Politehnica” University of Bucharest, Romania, and both his PhD and Habilitation from University Paris XI, France, being awarded the European Commission Archimedes Prize in 2002. Since 2001 he has held different positions at INRIA and SUPELEC in France and visiting appointments at the University of Newcastle, Australia and NTNU Trondheim, Norway. He is currently Professor at SUPELEC, a member of the INRIA Disco team and senior member of IEEE. His research interests include optimization-based control design and the set-theoretic characterization of constrained dynamical systems.