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Adaptive Learning of Polynomial Networks: Genetic Programming, Backpropagation and Bayesian Methods
Adaptive Learning of Polynomial Networks: Genetic Programming, Backpropagation and Bayesian Methods

This book delivers theoretical and practical knowledge for developing algorithms that infer linear and non-linear multivariate models, providing a methodology for inductive learning of polynomial neural network models (PNN) from data. The text emphasizes an organized model identification process by which to discover models that generalize and...

The Gale Encyclopedia of Alternative Medicine - 4 Volume set
The Gale Encyclopedia of Alternative Medicine - 4 Volume set

The Gale Encyclopedia of Alternative Medicine is a medical reference product designed to inform and educate readers about a wide variety of complementary therapies and herbal remedies and treatments for prevalent conditions and diseases. Thomson Gale believes the product to be comprehensive, but not necessarily definitive. It is intended to...

A Field Guide to Genetic Programming
A Field Guide to Genetic Programming
Genetic programming (GP) is a systematic, domain-independent method for getting computers to solve problems automatically starting from a high-level statement of what needs to be done. Using ideas from natural evolution, GP starts from an ooze of random computer programs, and progressively refines them through processes of mutation and sexual...
Unix Shell Programming, Third Edition
Unix Shell Programming, Third Edition

Unix Shell Programming is a tutorial aimed at helping Unix and Linux users get optimal performance out of their operating out of their operating system. It shows them how to take control of their systems and work efficiently by harnessing the power of the shell to solve common problems. The reader learns everything he or she needs to know to...

Parallel Evolutionary Computations (Studies in Computational Intelligence)
Parallel Evolutionary Computations (Studies in Computational Intelligence)
"Parallel Evolutionary Computation" focuses on the aspects related to the parallelization of evolutionary computations, such as parallel genetic operators, parallel fitness evaluation, distributed genetic algorithms, and parallel hardware implementations, as well as on their impact on several applications.The book is divided into four...
Quarantine with Protein: Protein-packed recipes less than 6 feet away
Quarantine with Protein: Protein-packed recipes less than 6 feet away
Stuck at home and need to eat? These recipes were curated with the full essence of 2020 quarantine life that will get you through anything. Whether that's meeting your nutritional goals or making all the delicious meals you enjoy going out for right at home, this book has got you covered regardless of whether you're in...
Acne For Dummies (Health & Fitness)
Acne For Dummies (Health & Fitness)
Acne is the most common skin disease in the United States, affecting more than 60 million adults and teenagers each year. Acne For Dummies addresses the causes of acne, and, most importantly, what can safely be done to cover it up, treat it, and minimize scarring. The book covers everything from daily skin care, over-the-counter acne preparations,...
Foundations of Learning Classifier Systems (Studies in Fuzziness and Soft Computing)
Foundations of Learning Classifier Systems (Studies in Fuzziness and Soft Computing)
Learning Classifier Systems (LCS) [Holland, 1976] are a machine learning technique which combines evolutionary computing, reinforcement learning, supervised learning or unsupervised learning, and heuristics to produce adaptive systems. They are rulebased systems, where the rules are usually in the traditional production system form of “IF...
Modern Cryptography: Theory and Practice
Modern Cryptography: Theory and Practice
Leading HP security expert Wenbo Mao explains why "textbook" crypto schemes, protocols, and systems are profoundly vulnerable by revealing real-world-scenario attacks. Next, he shows how to realize cryptographic systems and protocols that are truly "fit for application"--and formally demonstrates their fitness. Mao presents...
Extending the Scalability of Linkage Learning Genetic Algorithms: Theory & Practice (Studies in Fuzziness and Soft Computing)
Extending the Scalability of Linkage Learning Genetic Algorithms: Theory & Practice (Studies in Fuzziness and Soft Computing)
Genetic algorithms (GAs) are powerful search techniques based on principles of evolution and widely applied to solve problems in many disciplines. However, most GAs employed in practice nowadays are unable to learn genetic linkage and suffer from the linkage problem. The linkage learning genetic algorithm (LLGA) was proposed to tackle the linkage...
Genetic Programming Theory and Practice X (Genetic and Evolutionary Computation)
Genetic Programming Theory and Practice X (Genetic and Evolutionary Computation)

These contributions, written by the foremost international researchers and practitioners of Genetic Programming (GP), explore the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of the art in GP.

Topics in this volume include: evolutionary constraints,...

Aligned for Success: Reset Your Body from the Ground Up
Aligned for Success: Reset Your Body from the Ground Up
How to reach your fitness goals, prevent pain and injury, and achieve optimal performance in work, sports, and life.

Pain is a byproduct of our busy, active lives, but it doesn’t have to be a constant and hindering presence. Whether your daily activity consists of caring for children, or training for marathons, Dr.
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