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After the explosion of research on neural networks in the eighties, the nineties have seen a boom in industrial applications of neural networks. In contrast to the large output of publications in international neural network journals, which reflects the increase in neural network research, the large number of successful applications are less accessible. To make a survey of successful applications in industry in Europe, a project called SIENA was initiated with support from the European Community. The aim of SIENA was to assess the business impact of neural networks. Data were collected on both the supplier side and the end-user side of the market. In addition, case studies of successful 'money-making' applications using neural networks were gathered. This book contains detailed descriptions of some of the applications.
A comprehensive look at learning and generalization theory. The statistical theory of learning and generalization concerns the problem of choosing desired functions on the basis of empirical data. Highly applicable to a variety of computer science and robotics fields, this book offers lucid coverage of the theory as a whole. Presenting a method for determining the necessary and sufficient conditions for consistency of learning process, the author covers function estimates from small data pools, applying these estimations to real-life problems, and much more.
In recent years there have been exciting scientific discoveries about a powerful hormone whose role in the human body has long been neglected. Oxytocin is the hormone involved in bonding, sex, childbirth, and breast-feeding, as well as in relaxation and feelings of calm. It is the mirror image of the stress hormone (adrenaline), which triggers the "fight or flight" systems in the body. Much has been written about the latter but the many-sided importance of oxytocin is currently known only to specialists in obstetrics, physiology, and psychiatry. The Oxytocin Factor, by Dr. Kerstin Uvnäs-Moberg, is the first book on the subject for a general audience. The new research findings, as well as the potentially beneficial applications of this hormone in reducing anxiety states, stress, addictions, and problems of childbirth, are not only fascinating but of great significance to all our lives.
Developmental Psychopathology, Second Edition, contains in three volumes the most complete and current research on every aspect of developmental psychopathology. This seminal reference work features contributions from national and international expert researchers and clinicians who bring together an array of interdisciplinary work to ascertain how multiple levels of analysis may influence individual differences, the continuity or discontinuity of patterns and the pathways by which the same developmental outcomes may be achieved. This volume addresses theoretical perspectives and methodological.
This volume presents the proceedings of the CRM workshop on graph coloring and applications. The articles span a wide spectrum of topics related to graph coloring, including: list-colorings, total colorings, colorings and embeddings of graphs, chromatic polynomials, characteristic polynomials, chromatic scheduling, and graph coloring problems related to frequency assignment. Outstanding researchers in combinatorial optimization and graph theory contributed their work. A list of open problems is included.
Explains what connectionist learning is and how it relates to artificial intelligence. Develops a respresentation of knowledge and a representation of a simple computational system, and gives some examples of how such a system might work.