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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.
Ancient Knowledge Networks is a book about how knowledge travels, in minds and bodies as well as in writings. It explores the forms knowledge takes and the meanings it accrues, and how these meanings are shaped by the peoples who use it.Addressing the relationships between political power, family ties, religious commitments and literate scholarship in the ancient Middle East of the first millennium BC, Eleanor Robson focuses on two regions where cuneiform script was the predominant writing medium: Assyria in the north of modern-day Syria and Iraq, and Babylonia to the south of modern-day Baghdad. She investigates how networks of knowledge enabled cuneiform intellectual culture to endure and ...
Individuals seek ways to repress the sense of violence within themselves and often resort to medial channels. The hunger of the individual for violence is a trigger for the generation of violent content by media, owners of political power, owners of religious power, etc. However, this content is produced considering the individual’s sensitivities. Thus, violence is aestheticized. Aesthetics of violence appear in different fields and in different forms. In order to analyze it, an interdisciplinary perspective is required. The Handbook of Research on Aestheticization of Violence, Horror, and Power brings together two different concepts that seem incompatible—aesthetics and violence—and f...
"Formerly known as the International Citation Manual"--p. xv.
This is the first textbook on pattern recognition to present the Bayesian viewpoint. The book presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible. It uses graphical models to describe probability distributions when no other books apply graphical models to machine learning. No previous knowledge of pattern recognition or machine learning concepts is assumed. Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.