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Machine Learning Proceedings 1990
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Jews have called New Jersey home since the late seventeenth century, and they currently make up almost 6 percent of the states residents. Yet, until now, no book has paid tribute to the richness of Jewish heritage in the Garden State. The Jews of New Jersey: A Pictorial History redresses this lack with a lively narrative and hundreds of archival and family photographsmany rarethat bring this history to life. Patricia Ard and Michael Rockland focus on representative Jewish communities throughout the state, paying particular attention to the extraordinary stories of ordinary people. Through the joys and struggles of homemakers, storekeepers, factory workers, athletes, children, farmers, activi...
A comprehensive overview of the integrative study of violence Violence continues to be one of the most urgent global public health problems that contemporary society faces. Suicides and homicides are increasing at an alarming rate, particularly in younger age groups and lower-income countries. Historically, the study of violence has been fragmented across disparate fields of study with little cross-disciplinary collaboration, thus creating a roadblock to decoding the underlying processes that give rise to violence and hindering efforts in research and prevention. Violence: An Interdisciplinary Approach to Causes, Consequences, and Cures assembles and organizes current information into one co...
Multistrategy learning is one of the newest and most promising research directions in the development of machine learning systems. The objectives of research in this area are to study trade-offs between different learning strategies and to develop learning systems that employ multiple types of inference or computational paradigms in a learning process. Multistrategy systems offer significant advantages over monostrategy systems. They are more flexible in the type of input they can learn from and the type of knowledge they can acquire. As a consequence, multistrategy systems have the potential to be applicable to a wide range of practical problems. This volume is the first book in this fast growing field. It contains a selection of contributions by leading researchers specializing in this area. See below for earlier volumes in the series.
Machine Learning Proceedings 1989