Автор: Oyebode, Femi Название: Sims` Symptoms in the Mind ISBN: 0702055565 ISBN-13(EAN): 9780702055560 Издательство: Elsevier Science Рейтинг: Цена: 57960.00 T Наличие на складе: Поставка под заказ. Описание: Preceded by: Sims` symptoms in the mind / Femi Oyebode. 4th ed. 2008.
Автор: Alan H. Fielding Название: Machine Learning Methods for Ecological Applications ISBN: 1461374138 ISBN-13(EAN): 9781461374138 Издательство: Springer Рейтинг: Цена: 148020.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This is the first text aimed at introducing machine learning methods to a readership of professional ecologists. All but one of the chapters have been written by ecologists and biologists who highlight the application of a particular method to a particular class of problem.
Автор: Manfred Clynes Название: Music, Mind, and Brain ISBN: 1468489194 ISBN-13(EAN): 9781468489194 Издательство: Springer Рейтинг: Цена: 104480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: An expanded version of the Third Workshop on the Physical and Neuropsychological Foundations of Music, held in Ossiach, Austria, August 8-12, 1980
Автор: Clara Pizzuti; Marylyn D. Ritchie; Mario Giacobini Название: Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics ISBN: 3642011837 ISBN-13(EAN): 9783642011832 Издательство: Springer Рейтинг: Цена: 65210.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Constitutes the refereed proceedings of the 7th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2009, held in Tubingen, Germany, in April 2009 co located with the Evo 2009 events. This book includes such topics as biomarker discovery, cell simulation and modeling, and ecological modeling.
Автор: Shi Yu; L?on-Charles Tranchevent; Bart Moor; Yves Название: Kernel-based Data Fusion for Machine Learning ISBN: 3642267513 ISBN-13(EAN): 9783642267512 Издательство: Springer Рейтинг: Цена: 130590.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Data fusion problems arise in many different fields. This book provides a specific introduction to solve data fusion problems using support vector machines. The reader will require a good knowledge of data mining, machine learning and linear algebra.
Автор: Cleophas Название: Machine Learning in Medicine - Cookbook Two ISBN: 3319074121 ISBN-13(EAN): 9783319074122 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
The amount of data medical databases doubles every 20 months, and physicians are at a loss to analyze them. Also, traditional data analysis has difficulty to identify outliers and patterns in big data and data with multiple exposure / outcome variables and analysis-rules for surveys and questionnaires, currently common methods of data collection, are, essentially, missing. Consequently, proper data-based health decisions will soon be impossible.
Obviously, it is time that medical and health professionals mastered their reluctance to use machine learning methods and this was the main incentive for the authors to complete a series of three textbooks entitled "Machine Learning in Medicine Part One, Two and Three, Springer Heidelberg Germany, 2012-2013," describing in a nonmathematical way over sixty machine learning methodologies, as available in SPSS statistical software and other major software programs. Although well received, it came to our attention that physicians and students often lacked time to read the entire books, and requested a small book, without background information and theoretical discussions and highlighting technical details.
For this reason we produced a 100 page cookbook, entitled "Machine Learning in Medicine - Cookbook One," with data examples available at extras.springer.com for self-assessment and with reference to the above textbooks for background information. Already at the completion of this cookbook we came to realize, that many essential methods were not covered. The current volume, entitled "Machine Learning in Medicine - Cookbook Two" is complementary to the first and also intended for providing a more balanced view of the field and thus, as a must-read not only for physicians and students, but also for any one involved in the process and progress of health and health care.
Similarly to Machine Learning in Medicine - Cookbook One, the current work will describe stepwise analyses of over twenty machine learning methods, that are, likewise, based on the three major machine learning methodologies:
Cluster methodologies (Chaps. 1-3)
Linear methodologies (Chaps. 4-11)
Rules methodologies (Chaps. 12-20)
In extras.springer.com the data files of the examples are given, as well as XML (Extended Mark up Language), SPS (Syntax) and ZIP (compressed) files for outcome predictions in future patients. In addition to condensed versions of the methods, fully described in the above three textbooks, an introduction is given to SPSS Modeler (SPSS' data mining workbench) in the Chaps. 15, 18, 19, while improved statistical methods like various automated analyses and Monte Carlo simulation models are in the Chaps. 1, 5, 7 and 8.
We should emphasize that all of the methods described have been successfully applied in practice by the authors, both of them professors in applied statistics and machine learning at the European Community College of Pharmaceutical Medicine in Lyon France. We recommend the current work not only as a training companion to investigators and students, because of plenty of step by step analyses given, but also as a brief introductory text to jaded clinicians new to the methods. For the latter purpose, background and theoretical information have been replaced with the appropriate references to the above textbooks, while single sections addressing "general purposes," "main scientific questions" and "conclusions" are given in place.
Finally, we will demonstrate that modern machine learning performs sometimes better than traditional statistics does. Machine learning may have little options for adjusting confounding and interaction, but you can add propensity scores and interaction variables to almost any machine learning method.
Автор: Pagel, J. F. Название: Machine Dreaming and Consciousness ISBN: 0128037202 ISBN-13(EAN): 9780128037201 Издательство: Elsevier Science Рейтинг: Цена: 52770.00 T Наличие на складе: Поставка под заказ. Описание:
Machine Dreaming and Consciousness is the first book to discuss the questions raised by the advent of machine dreaming. Artificial intelligence (AI) systems meeting criteria of primary and self-reflexive consciousness are often utilized to extend the human interface, creating waking experiences that resemble the human dream. Surprisingly, AI systems also easily meet all human-based operational criteria for dreaming. These "dreams" are far different from anthropomorphic dreaming, including such processes as fuzzy logic, liquid illogic, and integration instability, all processes that may be necessary in both biologic and artificial systems to extend creative capacity.
Today, multi-linear AI systems are being built to resemble the structural framework of the human central nervous system. The creation of the biologic framework of dreaming (emotions, associative memories, and visual imagery) is well within our technical capacity. AI dreams potentially portend the further development of consciousness in these systems. This focus on AI dreaming raises even larger questions. In many ways, dreaming defines our humanity. What is humanly special about the states of dreaming? And what are we losing when we limit our focus to its technical and biologic structure, and extend the capacity for dreaming into our artificial creations? Machine Dreaming and Consciousness provides thorough discussion of these issues for neuroscientists and other researchers investigating consciousness and cognition.
Addresses the function and role of dream-like processing in AI systems
Describes the functions of dreaming in the creative process of both humans and machines
Presents an alternative approach to the philosophy of machine consciousness
Provides thorough discussion of machine dreaming and consciousness for neuroscientists and other researchers investigating consciousness and cognition
Автор: Patrick Stalph Название: Analysis and Design of Machine Learning Techniques ISBN: 3658049367 ISBN-13(EAN): 9783658049362 Издательство: Springer Рейтинг: Цена: 87070.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Manipulating or grasping objects seems like a trivial task for humans, as these are motor skills of everyday life. The author makes a connection between robotics and cognitive sciences by analyzing motor skill learning using implementations that could be found in the human brain - at least to some extent.
Автор: Boris Kryzhanovsky; Witali Dunin-Barkowski; Vladim Название: Advances in Neural Computation, Machine Learning, and Cognitive Research ISBN: 3319666037 ISBN-13(EAN): 9783319666037 Издательство: Springer Рейтинг: Цена: 149060.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book describes new theories and applications of artificial neural networks, with a special focus on neural computation, cognitive science and machine learning.
Автор: B. Uma Shankar; Kuntal Ghosh; Deba Prasad Mandal; Название: Pattern Recognition and Machine Intelligence ISBN: 3319698990 ISBN-13(EAN): 9783319698991 Издательство: Springer Рейтинг: Цена: 83850.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book constitutes the proceedings of the 7th International Conference on Pattern Recognition and Machine Intelligence, PReMI 2017,held in Kolkata, India, in December 2017. The total of 86 full papers presented in this volume were carefully reviewed and selected from 293 submissions.
Автор: Virginio Cantoni; Vito di Ges?; Alessandra Setti; Название: Human and Machine Perception 3 ISBN: 1461355168 ISBN-13(EAN): 9781461355168 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Proceedings of the Fourth International Workshop on Human Machine and Perception: Thinking, Deciding, and Acting, held June 20-23, 2000, in Palermo, Italy
Автор: Virginio Cantoni; Vito di Ges?; Alessandra Setti; Название: Human and Machine Perception 2 ISBN: 1461371791 ISBN-13(EAN): 9781461371793 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Proceedings of the Third International Workshop on Human and Machine Perception, held September 14-17, 1998, in Pavia, Italy.
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