Knowledge Annotation Making Implicit Knowledge Explicit

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Knowledge Annotation: Making Implicit Knowledge Explicit

Alexiei Dingli
Knowledge Annotation Making Implicit Knowledge Explicit Book PDF

Author : Alexiei Dingli
Publisher : Springer Science & Business Media
Page : 149 pages
File Size : 47,5 Mb
Release : 2011-04-06
Category : Technology & Engineering
ISBN : 9783642203237

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Knowledge Annotation: Making Implicit Knowledge Explicit by Alexiei Dingli Pdf

Did you ever read something on a book, felt the need to comment, took up a pencil and scribbled something on the books’ text’? If you did, you just annotated a book. But that process has now become something fundamental and revolutionary in these days of computing. Annotation is all about adding further information to text, pictures, movies and even to physical objects. In practice, anything which can be identified either virtually or physically can be annotated. In this book, we will delve into what makes annotations, and analyse their significance for the future evolutions of the web. We will explain why it was thought to be unreasonable to annotate documents manually and how Web 2.0 is making us rethink our beliefs. We will have a look at tools which make use of Artificial Intelligence techniques to support people in the annotation task. Behind these tools, there exists an important property of the web known as redundancy; we will explain what it is and show how it can be exploited. Finally we will gaze into the crystal ball and see what we might expect to see in the future. Until people understand what the web is all about and its grounding in annotation, people cannot start appreciating it. And until they do so, they cannot start creating the web of the future.

Advances in Swarm Intelligence

Ying Tan,Yuhui Shi,Zhen Ji
Advances in Swarm Intelligence Book PDF

Author : Ying Tan,Yuhui Shi,Zhen Ji
Publisher : Springer
Page : 631 pages
File Size : 55,5 Mb
Release : 2012-06-13
Category : Computers
ISBN : 9783642310201

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Advances in Swarm Intelligence by Ying Tan,Yuhui Shi,Zhen Ji Pdf

This book and its companion volume, LNCS vols. 7331 and 7332, constitute the Proceedings of the Third International conference on Swarm Intelligence, ICSI 2012, held in Shenzhen, China in June 2012. The 145 full papers presented were carefully reviewed and selected from 247 submissions. The papers are organized in 27 cohesive sections covering all major topics of swarm intelligence research and developments.

Human-Computer Interaction – INTERACT 2015

Julio Abascal,Simone Barbosa,Mirko Fetter,Tom Gross,Philippe Palanque,Marco Winckler
Human Computer Interaction INTERACT 2015 Book PDF

Author : Julio Abascal,Simone Barbosa,Mirko Fetter,Tom Gross,Philippe Palanque,Marco Winckler
Publisher : Springer
Page : 636 pages
File Size : 42,6 Mb
Release : 2015-08-31
Category : Computers
ISBN : 9783319226682

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Human-Computer Interaction – INTERACT 2015 by Julio Abascal,Simone Barbosa,Mirko Fetter,Tom Gross,Philippe Palanque,Marco Winckler Pdf

The four-volume set LNCS 9296-9299 constitutes the refereed proceedings of the 15th IFIP TC13 International Conference on Human-Computer Interaction, INTERACT 2015, held in Bamberg, Germany, in September 2015. The 47 papers included in the second volume are organized in topical sections on computer-supported cooperative work and social computing; end-user development; evaluation methods / usability evaluation; eye tracking; gesture interaction; HCI and security; HCI for developing regions and social development; HCI for education.

Decision Making in Complex Systems

Marina V. Sokolova,Antonio Fernández Caballero
Decision Making in Complex Systems Book PDF

Author : Marina V. Sokolova,Antonio Fernández Caballero
Publisher : Springer Science & Business Media
Page : 196 pages
File Size : 51,6 Mb
Release : 2012-01-13
Category : Technology & Engineering
ISBN : 9783642255441

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Decision Making in Complex Systems by Marina V. Sokolova,Antonio Fernández Caballero Pdf

The study of complex systems attracts the attention of many researchers in diverse fields. Complex systems are characterized by a high number of entities and a high degree of interactions. One of the most important features is that they do not involve a central organizing authority, but the various elements that make up the systems are self-organized. Moreover, some complex systems possess an emergency priority: climate change and sustainable development research, studies of public health, ecosystem habitats, epidemiology, and medicine, among others. Unfortunately, a great number of today’s overlapping approaches fail to meet the needs of decision makers when managing complex domains. Indeed, the design of complex systems often requires the integration of a number of artificial intelligence tools and techniques. The problem can be viewed in terms of goals, states, and actions, choosing the best action to move the system toward its desired state or behavior. This is why agent-based approaches are used to model complex systems. The main objective of this book is to bring together existing methods for decision support systems creation within a coherent agent-based framework and to provide an interdisciplinary and flexible methodology for modeling complex and systemic domains.

Decision Making with Imperfect Decision Makers

Tatiana Valentine Guy,Miroslav Kárný,David H. Wolpert
Decision Making with Imperfect Decision Makers Book PDF

Author : Tatiana Valentine Guy,Miroslav Kárný,David H. Wolpert
Publisher : Springer Science & Business Media
Page : 207 pages
File Size : 54,7 Mb
Release : 2011-11-13
Category : Technology & Engineering
ISBN : 9783642246470

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Decision Making with Imperfect Decision Makers by Tatiana Valentine Guy,Miroslav Kárný,David H. Wolpert Pdf

Prescriptive Bayesian decision making has reached a high level of maturity and is well-supported algorithmically. However, experimental data shows that real decision makers choose such Bayes-optimal decisions surprisingly infrequently, often making decisions that are badly sub-optimal. So prevalent is such imperfect decision-making that it should be accepted as an inherent feature of real decision makers living within interacting societies. To date such societies have been investigated from an economic and gametheoretic perspective, and even to a degree from a physics perspective. However, little research has been done from the perspective of computer science and associated disciplines like machine learning, information theory and neuroscience. This book is a major contribution to such research. Some of the particular topics addressed include: How should we formalise rational decision making of a single imperfect decision maker? Does the answer change for a system of imperfect decision makers? Can we extend existing prescriptive theories for perfect decision makers to make them useful for imperfect ones? How can we exploit the relation of these problems to the control under varying and uncertain resources constraints as well as to the problem of the computational decision making? What can we learn from natural, engineered, and social systems to help us address these issues?

Handbook on Decision Making

Jie Lu,Lakhmi C Jain,Guangquan Zhang
Handbook on Decision Making Book PDF

Author : Jie Lu,Lakhmi C Jain,Guangquan Zhang
Publisher : Springer Science & Business Media
Page : 457 pages
File Size : 47,6 Mb
Release : 2012-03-15
Category : Technology & Engineering
ISBN : 9783642257551

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Handbook on Decision Making by Jie Lu,Lakhmi C Jain,Guangquan Zhang Pdf

This book presents innovative theories, methodologies, and techniques in the field of risk management and decision making. It introduces new research developments and provides a comprehensive image of their potential applications to readers interested in the area. The collection includes: computational intelligence applications in decision making, multi-criteria decision making under risk, risk modelling,forecasting and evaluation, public security and community safety, risk management in supply chain and other business decision making, political risk management and disaster response systems. The book is directed to academic and applied researchers working on risk management, decision making, and management information systems.

Mathematical Knowledge Management

Andrea Asperti,Grzegorz Bancerek,Andrzej Trybulec
Mathematical Knowledge Management Book PDF

Author : Andrea Asperti,Grzegorz Bancerek,Andrzej Trybulec
Publisher : Springer Science & Business Media
Page : 402 pages
File Size : 51,8 Mb
Release : 2004-09-07
Category : Computers
ISBN : 9783540230298

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Mathematical Knowledge Management by Andrea Asperti,Grzegorz Bancerek,Andrzej Trybulec Pdf

This book constitutes the refereed proceedings of the Third International Conference on Mathematical Knowledge Management, MKM 2004, held in Bialowieza, Poland, in September 2004. The 27 revised full papers presented were carefully reviewed and selected from 48 submissions. Among the topics addressed are mathematics retrieval, formalizing mathematics, formal mathematics, digital mathematical libraries, semantic Web, knowledge repositories, mathematical knowledge representation, theorem proving systems, OWL, proof verification, formal representation, mathematical formulae processing, and the OpenMath project.

Advances in Reasoning-Based Image Processing Intelligent Systems

Roumen Kountchev,Kazumi Nakamatsu
Advances in Reasoning Based Image Processing Intelligent Systems Book PDF

Author : Roumen Kountchev,Kazumi Nakamatsu
Publisher : Springer Science & Business Media
Page : 460 pages
File Size : 49,8 Mb
Release : 2012-01-13
Category : Technology & Engineering
ISBN : 9783642246937

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Advances in Reasoning-Based Image Processing Intelligent Systems by Roumen Kountchev,Kazumi Nakamatsu Pdf

The book puts special stress on the contemporary techniques for reasoning-based image processing and analysis: learning based image representation and advanced video coding; intelligent image processing and analysis in medical vision systems; similarity learning models for image reconstruction; visual perception for mobile robot motion control, simulation of human brain activity in the analysis of video sequences; shape-based invariant features extraction; essential of paraconsistent neural networks, creativity and intelligent representation in computational systems. The book comprises 14 chapters. Each chapter is a small monograph, representing resent investigations of authors in the area. The topics of the chapters cover wide scientific and application areas and complement each-other very well. The chapters’ content is based on fundamental theoretical presentations, followed by experimental results and comparison with similar techniques. The size of the chapters is well-ballanced which permits a thorough presentation of the investigated problems. The authors are from universities and R&D institutions all over the world; some of the chapters are prepared by international teams. The book will be of use for university and PhD students, researchers and software developers working in the area of digital image and video processing and analysis.

Recommender Systems for the Social Web

José J. Pazos Arias,Ana Fernández Vilas,Rebeca P. Díaz Redondo
Recommender Systems for the Social Web Book PDF

Author : José J. Pazos Arias,Ana Fernández Vilas,Rebeca P. Díaz Redondo
Publisher : Springer Science & Business Media
Page : 226 pages
File Size : 45,9 Mb
Release : 2012-01-24
Category : Technology & Engineering
ISBN : 9783642256943

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Recommender Systems for the Social Web by José J. Pazos Arias,Ana Fernández Vilas,Rebeca P. Díaz Redondo Pdf

The recommendation of products, content and services cannot be considered newly born, although its widespread application is still in full swing. While its growing success in numerous sectors, the progress of the Social Web has revolutionized the architecture of participation and relationship in the Web, making it necessary to restate recommendation and reconciling it with Collaborative Tagging, as the popularization of authoring in the Web, and Social Networking, as the translation of personal relationships to the Web. Precisely, the convergence of recommendation with the above Social Web pillars is what motivates this book, which has collected contributions from well-known experts in the academy and the industry to provide a broader view of the problems that Social Recommenders might face with. If recommender systems have proven their key role in facilitating the user access to resources on the Web, when sharing resources has become social, it is natural for recommendation strategies in the Social Web era take into account the users’ point of view and the relationships among users to calculate their predictions. This book aims to help readers to discover and understand the interplay among legal issues such as privacy; technical aspects such as interoperability and scalability; and social aspects such as the influence of affinity, trust, reputation and likeness, when the goal is to offer recommendations that are truly useful to both the user and the provider.

From Curve Fitting to Machine Learning

Achim Zielesny
From Curve Fitting to Machine Learning Book PDF

Author : Achim Zielesny
Publisher : Springer Science & Business Media
Page : 476 pages
File Size : 47,6 Mb
Release : 2011-07-28
Category : Technology & Engineering
ISBN : 9783642212802

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From Curve Fitting to Machine Learning by Achim Zielesny Pdf

The analysis of experimental data is at heart of science from its beginnings. But it was the advent of digital computers that allowed the execution of highly non-linear and increasingly complex data analysis procedures - methods that were completely unfeasible before. Non-linear curve fitting, clustering and machine learning belong to these modern techniques which are a further step towards computational intelligence. The goal of this book is to provide an interactive and illustrative guide to these topics. It concentrates on the road from two dimensional curve fitting to multidimensional clustering and machine learning with neural networks or support vector machines. Along the way topics like mathematical optimization or evolutionary algorithms are touched. All concepts and ideas are outlined in a clear cut manner with graphically depicted plausibility arguments and a little elementary mathematics. The major topics are extensively outlined with exploratory examples and applications. The primary goal is to be as illustrative as possible without hiding problems and pitfalls but to address them. The character of an illustrative cookbook is complemented with specific sections that address more fundamental questions like the relation between machine learning and human intelligence. These sections may be skipped without affecting the main road but they will open up possibly interesting insights beyond the mere data massage. All topics are completely demonstrated with the aid of the commercial computing platform Mathematica and the Computational Intelligence Packages (CIP), a high-level function library developed with Mathematica's programming language on top of Mathematica's algorithms. CIP is open-source so the detailed code of every method is freely accessible. All examples and applications shown throughout the book may be used and customized by the reader without any restrictions. The target readerships are students of (computer) science and engineering as well as scientific practitioners in industry and academia who deserve an illustrative introduction to these topics. Readers with programming skills may easily port and customize the provided code.

Data Mining: Foundations and Intelligent Paradigms

Dawn E. Holmes,Lakhmi C Jain
Data Mining Foundations and Intelligent Paradigms Book PDF

Author : Dawn E. Holmes,Lakhmi C Jain
Publisher : Springer Science & Business Media
Page : 367 pages
File Size : 54,9 Mb
Release : 2012-01-12
Category : Technology & Engineering
ISBN : 9783642231513

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Data Mining: Foundations and Intelligent Paradigms by Dawn E. Holmes,Lakhmi C Jain Pdf

There are many invaluable books available on data mining theory and applications. However, in compiling a volume titled “DATA MINING: Foundations and Intelligent Paradigms: Volume 3: Medical, Health, Social, Biological and other Applications” we wish to introduce some of the latest developments to a broad audience of both specialists and non-specialists in this field.

Collaborative Assistive Robot for Mobility Enhancement (CARMEN)

Cristina Urdiales
Collaborative Assistive Robot for Mobility Enhancement CARMEN Book PDF

Author : Cristina Urdiales
Publisher : Springer Science & Business Media
Page : 244 pages
File Size : 41,9 Mb
Release : 2012-02-16
Category : Technology & Engineering
ISBN : 9783642249020

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Collaborative Assistive Robot for Mobility Enhancement (CARMEN) by Cristina Urdiales Pdf

In nowadays aging society, many people require mobility assistance. Sometimes, assistive devices need a certain degree of autonomy when users' disabilities difficult manual control. However, clinicians report that excessive assistance may lead to loss of residual skills and frustration. Shared control focuses on deciding when users need help and providing it. Collaborative control aims at giving just the right amount of help in a transparent, seamless way. This book presents the collaborative control paradigm. User performance may be indicative of physical/cognitive condition, so it is used to decide how much help is needed. Besides, collaborative control integrates machine and user commands so that people contribute to self-motion at all times. Collaborative control was extensively tested for 3 years using a robotized wheelchair at a rehabilitation hospital in Rome with volunteer inpatients presenting different disabilities, ranging from mild to severe. We also present a taxonomy of common metrics for wheelchair navigation and tests are evaluated accordingly. Obtained results are coherent both from a quantitative and qualitative point of view.

Advances in Robotics and Virtual Reality

Tauseef Gulrez,Aboul Ella Hassanien
Advances in Robotics and Virtual Reality Book PDF

Author : Tauseef Gulrez,Aboul Ella Hassanien
Publisher : Springer Science & Business Media
Page : 392 pages
File Size : 44,6 Mb
Release : 2011-11-13
Category : Technology & Engineering
ISBN : 9783642233630

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Advances in Robotics and Virtual Reality by Tauseef Gulrez,Aboul Ella Hassanien Pdf

A beyond human knowledge and reach, robotics is strongly involved in tackling challenges of new emerging multidisciplinary fields. Together with humans, robots are busy exploring and working on the new generation of ideas and problems whose solution is otherwise impossible to find. The future is near when robots will sense, smell and touch people and their lives. Behind this practical aspect of human-robotics, there is a half a century spanned robotics research, which transformed robotics into a modern science. The Advances in Robotics and Virtual Reality is a compilation of emerging application areas of robotics. The book covers robotics role in medicine, space exploration and also explains the role of virtual reality as a non-destructive test bed which constitutes a premise of further advances towards new challenges in robotics. This book, edited by two famous scientists with the support of an outstanding team of fifteen authors, is a well suited reference for robotics researchers and scholars from related disciplines such as computer graphics, virtual simulation, surgery, biomechanics and neuroscience.

Intelligent Systems: Approximation by Artificial Neural Networks

George A. Anastassiou
Intelligent Systems Approximation by Artificial Neural Networks Book PDF

Author : George A. Anastassiou
Publisher : Springer Science & Business Media
Page : 113 pages
File Size : 55,6 Mb
Release : 2011-06-02
Category : Technology & Engineering
ISBN : 9783642214318

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Intelligent Systems: Approximation by Artificial Neural Networks by George A. Anastassiou Pdf

This brief monograph is the first one to deal exclusively with the quantitative approximation by artificial neural networks to the identity-unit operator. Here we study with rates the approximation properties of the "right" sigmoidal and hyperbolic tangent artificial neural network positive linear operators. In particular we study the degree of approximation of these operators to the unit operator in the univariate and multivariate cases over bounded or unbounded domains. This is given via inequalities and with the use of modulus of continuity of the involved function or its higher order derivative. We examine the real and complex cases. For the convenience of the reader, the chapters of this book are written in a self-contained style. This treatise relies on author's last two years of related research work. Advanced courses and seminars can be taught out of this brief book. All necessary background and motivations are given per chapter. A related list of references is given also per chapter. The exposed results are expected to find applications in many areas of computer science and applied mathematics, such as neural networks, intelligent systems, complexity theory, learning theory, vision and approximation theory, etc. As such this monograph is suitable for researchers, graduate students, and seminars of the above subjects, also for all science libraries.

Approximate Reasoning by Parts

Lech Polkowski
Approximate Reasoning by Parts Book PDF

Author : Lech Polkowski
Publisher : Springer Science & Business Media
Page : 356 pages
File Size : 44,9 Mb
Release : 2011-08-27
Category : Technology & Engineering
ISBN : 9783642222795

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Approximate Reasoning by Parts by Lech Polkowski Pdf

The monograph offers a view on Rough Mereology, a tool for reasoning under uncertainty, which goes back to Mereology, formulated in terms of parts by Lesniewski, and borrows from Fuzzy Set Theory and Rough Set Theory ideas of the containment to a degree. The result is a theory based on the notion of a part to a degree. One can invoke here a formula Rough: Rough Mereology : Mereology = Fuzzy Set Theory : Set Theory. As with Mereology, Rough Mereology finds important applications in problems of Spatial Reasoning, illustrated in this monograph with examples from Behavioral Robotics. Due to its involvement with concepts, Rough Mereology offers new approaches to Granular Computing, Classifier and Decision Synthesis, Logics for Information Systems, and are--formulation of well--known ideas of Neural Networks and Many Agent Systems. All these approaches are discussed in this monograph. To make the exposition self--contained, underlying notions of Set Theory, Topology, and Deductive and Reductive Reasoning with emphasis on Rough and Fuzzy Set Theories along with a thorough exposition of Mereology both in Lesniewski and Whitehead--Leonard--Goodman--Clarke versions are discussed at length. It is hoped that the monograph offers researchers in various areas of Artificial Intelligence a new tool to deal with analysis of relations among concepts.