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For any research field to have a lasting impact, there must be a firm theoretical foundation. Neural networks research is no exception. Some of the founda tiona

This work explores probabilistic models of supervised learning problems and addresses the key statistical and computational questions. Chapters survey research

This book collects research works that exploit neural networks and machine learning techniques from a multidisciplinary perspective. Subjects covered include th

This book describes new theories and applications of artificial neural networks, with a special focus on answering questions in neuroscience, biology and biophy

This book describes recent theoretical advances in the study of artificial neural networks. It explores probabilistic models of supervised learning problems, an