Recognition is one of the most debated concepts in contemporary social and political thought. Its proponents, such as Axel Honneth, hold that to be recognized by others is a basic human need that is central to forming an identity, and the denial of recognition deprives individuals and communities of something essential for their flourishing. Yet critics including Judith Butler ...(展开全部)

Modern civilization, Bauman argues, promised to make our lives understandable and open to our control. This has not happened and today we no longer believe it ever will. In this book, now available in paperback, Bauman argues that our postmodern age is the time for reconciliation with ambivalence, we must learn how to live in an incurably ambiguous world.

For close to forty years now T.M. Scanlon has been one of the most important contributors to moral and political philosophy in the Anglo-American world. Through both his writing and his teaching, he has played a central role in shaping the questions with which research in moral and political philosophy now grapples. Reasons and Recognition brings together fourteen new papers on...(展开全部)

From the brilliantly original novelist and cultural critic Lynne Tillman comes MOTHERCARE, an honest and beautifully written account of a sudden, drastically changed relationship to one’s mother, and of the time and labor spent navigating the American healthcare system. When a mother’s unusual health condition, normal pressure hydrocephalus, renders her entirely dependent on yo...(展开全部)

The dramatic growth in practical applications for machine learning over the last ten years has been accompanied by many important developments in the underlying algorithms and techniques. For example, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic tech...(展开全部)

B.D.Ripley 著名的统计学家，牛津大学应用统计教授。他在空间统计学、模式识别领域作出了重要贡献，对S的开发以及S-PLUSUS和R的推广应用有着重要影响。20世纪90年代他出版了人工神经网络方面的著作，影响很大，引导统计学者开始关注机器学习和数据挖掘。除本书外，他还著有Modern Applied Statistics with S和S Programming。

Now in paperback: the most reliable account of the statistical framework for pattern recognition and machine learning. With unparalleled coverage and a wealth of case-studies this book gives valuable insight into both the theory and the enormously diverse applications (which can be found in remote sensing, astrophysics, engineering and medicine, for example). So that readers ca...(展开全部)

The book is suitable for courses on machine learning, statistics, computer science, signal processing, computer vision, data mining, and bioinformatics. Extensive support is provided for course instructors, including more than 400 exercises, graded according to difficulty. Example solutions for a subset of the exercises are available from the book web site, while solutions for ...(展开全部)

The dramatic growth in practical applications for machine learning over the last ten years has been accompanied by many important developments in the underlying algorithms and techniques. For example, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic tech...(展开全部)