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Learning Classifier Systems
Learning Classifier Systems (LCS) 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 difference learning. This book provides a unique survey of the current state of the art of LCS and highlights some of the most promising research directions. The first part presents various views of leading people on what learning classifier systems are. The second part is devoted to advanced topics of current interest, including alternative representations, methods for evaluating rule utility, and extensions to existing classifier system models. The final part is dedicated to promising applications in areas like data mining, medical data analysis, economic trading agents, aircraft maneuvering, and autonomous robotics. An appendix comprising 467 entries provides a comprehensive LCS bibliography.
Cerebral Cavernous Malformations (CCM)
This volume provides experimental approaches aimed to characterize the Cerebral Cavernous Malformations (CCM) disease and to define the cellular and molecular mechanisms underlying this pathology. Chapters are divided into four sections providing a general overview of the natural history, epidemiology, and pathogenetic mechanisms of CCM disease, describing methods currently used for diagnosis and treatment, production and analysis of distinct cellular and animal models in which CCM can be studied, and different methodological approaches to study the mechanisms underlying the CCM onset and progression. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, Cerebral Cavernous Malformations (CCM): Methods and Protocols aims to ensure successful results in the further study of this complex disease and its pathophysiologic correlates.
Agent-Based Manufacturing and Control Systems
Traditional manufacturing systems rely upon centralized, hierarchical systems that are not responsive enough to the increasing demand for mass customization. Decentralized, or heterarchical, management systems using autonomous agents promise to nullify the limitations of previous solutions. Agent-Based Manufacturing and Control Systems: New
Genetic Programming
This book constitutes the refereed proceedings of the 6th European Conference on Genetic Programming, EuroGP 2003, held in Essex, UK in April 2003. The 45 revised papers presented were carefully reviewed and selected from 61 submissions. All current aspects of genetic programming and genetic algorithms are addressed, ranging from foundational, theoretical, and methodological issues to advanced applications in various fields.
Cavernous Malformations
The massive convergence of information about cavernous malformations has been synthesized in this volume by experts in the field of pathology, neuroradiology and neurosurgery. Cavernous Malformations represents state-of-the-art knowledge about this lesion and the spectrum of opinion about its nature, clinical behavior and management strategies. Highlights of Cavernous Malformations: Definition and pathologic features Epidemiology Diagnostic imaging Epilepsy Hemorrhage Conservative management Surgical intervention Microsurgical treatments Spinal cavernous malformations Pediatrics Radiotherapy (Distributed by Thieme for the American Association of Neurological Surgeons)
Genetic Programming
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Genetic Programming Theory and Practice III
Genetic Programming Theory and Practice III provides both researchers and industry professionals with the most recent developments in GP theory and practice by exploring the emerging interaction between theory and practice in the cutting-edge, machine learning method of Genetic Programming (GP). The contributions developed from a third workshop at the University of Michigan's Center for the Study of Complex Systems, where leading international genetic programming theorists from major universities and active practitioners from leading industries and businesses meet to examine and challenge how GP theory informs practice and how GP practice impacts GP theory. Applications are from a wide range of domains, including chemical process control, informatics, and circuit design, to name a few.
Looking at edible insects from a food safety perspective
While insect consumption by humans or entomophagy has been traditionally practiced in various countries over generations and represents a common dietary component of various animal species (birds, fish, mammals), farming of insects for human food and animal feed is relatively recent. Production of this ‘mini-livestock’ brings with it several potential benefits and challenges. The objective of this document is to provide the reader with an overview of the various food safety issues that could be associated with edible insects. The intended audiences of this publication are food safety professionals, policymakers, researchers, insect producers as well as consumers. The regulatory frameworks that govern production, trade and consumption of insects in various regions are discussed. The document ends with elucidating some other major challenges, such as consumer acceptance and scaling up production, that the edible insect industry would need to overcome to have a more global reach.
Environmental Forensics
This title offers an overview of environmental forensics and related topics. It contains contributions from experts across the globe.
