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检索条件"丛书名=Studies in Computational Intelligence"

共 1290 条记录，以下是341-350 订阅

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computational Approaches to Analogical Reasoning: Current Trends 2014

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丛书名： studies in computational intelligence

2014年

作者： Henri Prade Gilles Richard

ISBN: (数字)9783642545160

ISBN: (纸本)9783642545153

Analogical reasoning is known as a powerful mode for drawing plausible conclusions and solving problems. It has been the topic of a huge number of works by philosophers, anthropologists, linguists, psychologists, and computer scientists. As such, it has been early studied in artificial intelligence, with a particular renewal of interest in the last decade. The present volume provides a structured view of current research trends on computational approaches to analogical reasoning. It starts with an overview of the field, with an extensive bibliography. The 14 collected contributions cover a large scope of issues. First, the use of analogical proportions and analogies is explained and discussed in various natural language processing problems, as well as in automated deduction. Then, different formal frameworks for handling analogies are presented, dealing with case-based reasoning, heuristic-driven theory projection, commonsense reasoning about incomplete rule bases, logical proportions induced by similarity and dissimilarity indicators, and analogical proportions in lattice structures. Lastly, the volume reports case studies and discussions about the use of similarity judgments and the process of analogy making, at work in IQ tests, creativity or other cognitive tasks. This volume gathers fully revised and expanded versions of papers presented at an international workshop as well as invited contributions. All chapters have benefited of a thorough peer review process.

关键词： Artificial intelligence computational intelligence Engineering

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Hardware for Soft Computing and Soft Computing for Hardware 2014

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丛书名： studies in computational intelligence

2014年

作者： Nadia Nedjah Luiza de Macedo Mourelle

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Constraint Programming and Decision Making 1

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丛书名： studies in computational intelligence

2014年

作者： E. Cabral Balreira, Olga Kosheleva (auth.), Martine Ceberio, Vladik Kreinovich (eds.)

ISBN: (数字)9783319042800

ISBN: (纸本)9783319042794;9783319042800

In many application areas, it is necessary to make effective decisions under constraints. Several area-specific techniques are known for such decision problems; however, because these techniques are area-specific, it is not easy to apply each technique to other applications areas. Cross-fertilization between different application areas is one of the main objectives of the annual International Workshops on Constraint Programming and Decision Making. Those workshops, held in the US (El Paso, Texas), in Europe (Lyon, France) and in Asia (Novosibirsk, Russia), from 2008 to 2012, have attracted researchers and practitioners from all over the world. This volume presents extended versions of selected papers from those workshops. These papers deal with all stages of decision making under constraints: (1) formulating the problem of multi-criteria decision making in precise terms, (2) determining when the corresponding decision problem is algorithmically solvable; (3) finding the corresponding algorithms and making these algorithms as efficient as possible and (4) taking into account interval, probabilistic and fuzzy uncertainty inherent in the corresponding decision making problems. The resulting application areas include environmental studies (selecting the best location for a meteorological tower), biology (selecting the most probable evolution history of a species), and engineering (designing the best control for a magnetic levitation train).

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Subspace Methods for Pattern Recognition in Intelligent Environment 1

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丛书名： studies in computational intelligence

2014年

作者： Yen-Wei Chen, Lakhmi C. Jain (eds.)

ISBN: (数字)9783642548512

ISBN: (纸本)9783642548505;9783642548512

This research book provides a comprehensive overview of the state-of-the-art subspace learning methods for pattern recognition in intelligent environment. With the fast development of internet and computer technologies, the amount of available data is rapidly increasing in our daily life. How to extract core information or useful features is an important issue. Subspace methods are widely used for dimension reduction and feature extraction in pattern recognition. They transform a high-dimensional data to a lower-dimensional space (subspace), where most information is retained. The book covers a broad spectrum of subspace methods including linear, nonlinear and multilinear subspace learning methods and applications. The applications include face alignment, face recognition, medical image analysis, remote sensing image classification, traffic sign recognition, image clustering, super resolution, edge detection, multi-view facial image synthesis.

关键词： Pattern recognition systems Computer vision

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computational intelligence in Multi-Feature Visual Pattern Recognition: Hand Posture and Face Recognition using Biologically Inspired Approaches 1

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丛书名： studies in computational intelligence

2014年

作者： Pramod Kumar Pisharady, Prahlad Vadakkepat, Loh Ai Poh (auth.)

ISBN: (数字)9789812870568

ISBN: (纸本)9789812870551;9789812870568

This book presents a collection of computational intelligence algorithms that addresses issues in visual pattern recognition such as high computational complexity, abundance of pattern features, sensitivity to size and shape variations and poor performance against complex backgrounds. The book has 3 parts. Part 1 describes various research issues in the field with a survey of the related literature. Part 2 presents computational intelligence based algorithms for feature selection and classification. The algorithms are discriminative and fast. The main application area considered is hand posture recognition. The book also discusses utility of these algorithms in other visual as well as non-visual pattern recognition tasks including face recognition, general object recognition and cancer / tumor classification. Part 3 presents biologically inspired algorithms for feature extraction. The visual cortex model based features discussed have invariance with respect to appearance and size of the hand, and provide good inter class discrimination. A Bayesian model of visual attention is described which is effective in handling complex background problem in hand posture recognition. The book provides qualitative and quantitative performance comparisons for the algorithms outlined, with other standard methods in machine learning and computer vision. The book is self-contained with several figures, charts, tables and equations helping the reader to understand the material presented without instruction.

关键词： computational intelligence. Pattern recognition systems. Computer vision

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Intelligent Tools for Building a Scientific Information Platform: From Research to Implementation 1

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丛书名： studies in computational intelligence

2014年

作者： Robert Bembenik, Łukasz Skonieczny, Henryk Rybiński, Marzena Kryszkiewicz, Marek Niezgódka (eds.)

ISBN: (数字)9783319047140

ISBN: (纸本)9783319047133;9783319047140

This book is a selection of results obtained within three years of research performed under SYNATa nation-wide scientific project aiming at creating an infrastructure for scientific content storage and sharing for academia, education and open knowledge society in Poland. The book is intended to be the last of the series related to the SYNAT project. The previous books, titled Intelligent Tools for Building a Scientific Information Platform and Intelligent Tools for Building a Scientific Information Platform: Advanced Architectures and Solutions, were published as volumes 390 and 467 in Springer's studies in computational intelligence. Its contents is based on the SYNAT 2013 Workshop held in Warsaw. The papers included in this volume present an overview and insight into information retrieval, repository systems, text processing, ontology-based systems, text mining, multimedia data processing and advanced software engineering, addressing the problems of implementing intelligent tools for building a scientific information platform.

关键词： computational intelligence Information storage and retrieval systems

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Intelligent Systems for Science and Information: Extended and Selected Results from the Science and Information Conference 2013 1

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丛书名： studies in computational intelligence

2014年

作者： Besim Mustafa, Peter Matthew, Farrukh Naveed (auth.), Liming Chen, Supriya Kapoor, Rahul Bhatia (eds.)

ISBN: (数字)9783319047027

ISBN: (纸本)9783319047010;9783319047027

The book Intelligent Systems for Science and Information is the remarkable collection of extended chapters from the selected papers that were published in the proceedings of Science and Information (SAI) Conference 2013. It contains twenty-four chapters in the field of Intelligent Systems, which received highly recommended feedback during SAI Conference 2013 review process. All chapters have gone through substantial extension and consolidation and were subject to another round of rigorous review and additional modification. These chapters represent the state of the art of the cutting-edge research and technologies in related areas, and can help inform relevant research communities and individuals of the future development in Science and Information.

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Growing Adaptive Machines 2014

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丛书名： studies in computational intelligence

2014年

作者： Taras Kowaliw Nicolas Bredeche René Doursat

ISBN: (数字)9783642553370

ISBN: (纸本)9783642553363

The pursuit of artificial intelligence has been a highly active domain of research for decades, yielding exciting scientific insights and productive new technologies. In terms of generating intelligence, however, this pursuit has yielded only limited success. This book explores the hypothesis that adaptive growth is a means of moving forward. By emulating the biological process of development, we can incorporate desirable characteristics of natural neural systems into engineered designs and thus move closer towards the creation of brain-like systems. The particular focus is on how to design artificial neural networks for engineering tasks. The book consists of contributions from 18 researchers, ranging from detailed reviews of recent domains by senior scientists, to exciting new contributions representing the state of the art in machine learning research. The book begins with broad overviews of artificial neurogenesis and bio-inspired machine learning, suitable both as an introduction to the domains and as a reference for experts. Several contributions provide perspectives and future hypotheses on recent highly successful trains of research, including deep learning, the Hyper NEAT model of developmental neural network design, and a simulation of the visual cortex. Other contributions cover recent advances in the design of bio-inspired artificial neural networks, including the creation of machines for classification, the behavioural control of virtual agents, the design of virtual multi-component robots and morphologies and the creation of flexible intelligence. Throughout, the contributors share their vast expertise on the means and benefits of creating brain-like machines. This book is appropriate for advanced students and practitioners of artificial intelligence and machine learning.

关键词： Neural networks (Computer science)

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Advanced Approaches to Intelligent Information and Database Systems 1

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丛书名： studies in computational intelligence

2014年

作者： Janusz Sobecki, Veera Boonjing, Suphamit Chittayasothorn (eds.)

ISBN: (数字)9783319055039

ISBN: (纸本)9783319055022;9783319055039

This book consists of 35 chapters presenting different theoretical and practical aspects of Intelligent Information and Database Systems. Nowadays both Intelligent and Database Systems are applied in most of the areas of human activities which necessitates further research in these areas. In this book various interesting issues related to the intelligent information models and methods as well as their advanced applications, database systems applications, data models and their analysis and digital multimedia methods and applications are presented and discussed both from the practical and theoretical points of view. The book is organized in four parts devoted to intelligent systems models and methods, intelligent systems advanced applications, database systems methods and applications and multimedia systems methods and applications. The book will be interesting forpractitioners and researchers, especially graduate and PhD students of information technology and computer science, as well more experienced academics and specialists interested in developing and verification of intelligent information, database and multimedia systems models, methods and applications. The readers of this volume are enabled to find many inspiring ideas and motivating practical examples that will help them in the current and future work.

关键词： Database management. Expert systems (Computer science). Artificial intelligence. Multimedia systems

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Recent Advances on Hybrid Approaches for Designing Intelligent Systems 1

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丛书名： studies in computational intelligence

2014年

作者： Oscar Castillo, Patricia Melin, Witold Pedrycz, Janusz Kacprzyk (eds.)

ISBN: (数字)9783319051703

ISBN: (纸本)9783319051697;9783319051703

This book describes recent advances on hybrid intelligent systems using soft computing techniques for diverse areas of application, such as intelligent control and robotics, pattern recognition, time series prediction and optimization complex problems. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks and bio-inspired optimization algorithms, which can be used to produce powerful hybrid intelligent systems. The book is organized in five main parts, which contain a group of papers around a similar subject. The first part consists of papers with the main theme of type-2 fuzzy logic, which basically consists of papers that propose new models and applications for type-2 fuzzy systems. The second part contains papers with the main theme of bio-inspired optimization algorithms, which are basically papers using nature-inspired techniques to achieve optimization of complex optimization problems in diverse areas of application. The third part contains papers that deal with new models and applications of neural networks in real world problems. The fourth part contains papers with the theme of intelligent optimization methods, which basically consider the proposal of new methods of optimization to solve complex real world optimization problems. The fifth part contains papers with the theme of evolutionary methods and intelligent computing, which are papers considering soft computing methods for applications related to diverse areas, such as natural language processing, recommending systems and optimization.

关键词： Soft computing Artificial intelligence Fuzzy logic

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