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Learning Classifier Systems: From Foundations to Applications
Learning Classifier Systems: From Foundations to Applications

Learning classi er systems are a machine learning paradigm introduced by John Holland in 1976. They are rule-based systems in which learning is viewed as a process of ongoing adaptation to a partially unknown environment through genetic algorithms and temporal di erence learning.

From the beginning, classi er systems have attracted...

Practical Guide to the Packaging of Electronics, Second Edition: Thermal and Mechanical Design and Analysis
Practical Guide to the Packaging of Electronics, Second Edition: Thermal and Mechanical Design and Analysis

As the demand for packaging more electronic capabilities into smaller packages rises, product developers must be more cognizant of how the system configuration will impact its performance. Practical Guide to the Packaging of Electronics: Second Edition, Thermal and Mechanical Design and Analysis provides a...

Computational Intelligence in Optimization: Applications and Implementations (Adaptation, Learning, and Optimization)
Computational Intelligence in Optimization: Applications and Implementations (Adaptation, Learning, and Optimization)

Optimization is an integral part to science and engineering. Most real-world applications involve complex optimization processes, which are difficult to solve without advanced computational tools. With the increasing challenges of fulfilling optimization goals of current applications there is a strong drive to advance the development of...

Computing with Instinct: Rediscovering Artificial Intelligence
Computing with Instinct: Rediscovering Artificial Intelligence

Simplicity in nature is the ultimate sophistication. The world's magnificence has been enriched by the inner drive of instincts, the profound drive of our everyday life. Instinct is an inherited behavior that responds to environmental stimuli. Instinctive computing is a computational simulation of biological and cognitive instincts, which...

Logical and Relational Learning (Cognitive Technologies)
Logical and Relational Learning (Cognitive Technologies)

I use the term logical and relational learning to refer to the subfield of artificial intelligence, machine learning and data mining that is concerned with learning in expressive logical or relational representations. It is the union of inductive logic programming, (statistical) relational learning and multi-relational data mining, which all...

Fuzzy Logic with Engineering Applications, Third Edition
Fuzzy Logic with Engineering Applications, Third Edition

The first edition of Fuzzy Logic with Engineering Applications (1995) was the first classroom text for undergraduates in the field. Now updated for the second time, this new edition features the latest advances in the field including material on expansion of the MLFE method using genetic algorithms, cognitive mapping, fuzzy agent-based...

Convergence of Mobile and Stationary Next-Generation Networks
Convergence of Mobile and Stationary Next-Generation Networks

The optical networking technology that suffered in the post - dot - com crash several years ago has since recovered and is once again poised for rapid growth due to the exhaustion of available bandwidth. Today, photonics networks transport Internet data over large distances in long - haul and metropolitan networks. Improvements in...

Diagrammatic Reasoning in AI
Diagrammatic Reasoning in AI

This book is really the end product of over a decade of work, on and off, on diagrammatic reasoning in artificial intelligence (AI). In developing this book, I drew inspiration from a variety of sources: two experimental studies, the development of two prototype systems, an extensive literature review and analysis in AI,...

Better PowerPoint (R): Quick Fixes Based On How Your Audience Thinks
Better PowerPoint (R): Quick Fixes Based On How Your Audience Thinks

Presentations: We´ve all sat through them, wondering why we´re there; or we´ve given them, wondering whether the audience cares. This is a book about how to make presentations effective and therefore more interesting to the audience members.

Years ago, I was at a conference where one of the most...

The Algorithms and Principles of Non-photorealistic Graphics: Artistic Rendering and Cartoon Animation
The Algorithms and Principles of Non-photorealistic Graphics: Artistic Rendering and Cartoon Animation

Non-photorealistic computer graphics is a multidisciplinary field in the research community, involving computer arts, computer graphics, computer vision, digital image/video processing and visual cognitive psychology. It aims at the computer generation of images and animations that are made in part “by hand” in appearance,...

Scientific Data Mining and Knowledge Discovery: Principles and Foundations
Scientific Data Mining and Knowledge Discovery: Principles and Foundations

This book suits both graduate students and researchers with a focus on discovering knowledge from scientific data. The use of computational power for data analysis and knowledge discovery in scientific disciplines has found its roots with the revolution of high-performance computing systems. Computational science in physics,...

Head First iPhone and iPad Development: A Learner's Guide to Creating Objective-C Applications for the iPhone and iPad
Head First iPhone and iPad Development: A Learner's Guide to Creating Objective-C Applications for the iPhone and iPad

Let's say you have a killer app idea for iPhone and iPad. Where do you begin? Head First iPhone and iPad Development will help you get your first application up and running in no time. You'll not only learn how to design for Apple's devices, you'll also master the iPhone SDK tools -- including Interface...

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