How do “human” prejudices reemerge in algorithmic cultures allegedly devised to be blind to them? How do “human” prejudices reemerge in algorithmic cultures allegedly devised to be blind to them? To answer this question, this book investigates a fundamental axiom in computer science: pattern discrimination. By imposing identity on input data, in order to filter—that is, to discriminate—signals from noise, patterns become a highly political issue. Algorithmic identity politics reinstate old forms of social segregation, such as class, race, and gender, through defaults and paradigmatic assumptions about the homophilic nature of connection. Instead of providing a more “objective” basis of decision making, machine-learning algorithms deepen bias and further inscribe inequality into media. Yet pattern discrimination is an essential part of human—and nonhuman—cognition. Bringing together media thinkers and artists from the United States and Germany, this volume asks the urgent questions: How can we discriminate without being discriminatory? How can we filter information out of data without reinserting racist, sexist, and classist beliefs? How can we queer homophilic tendencies within digital cultures?

This book is the second, revised edition of a practical handbook of Chinese medical patterns with their disease causes and mechanisms, signs and symptoms, treatment principles, guiding formulas, main modifications, and acupuncture treatments. It is meant for both the student and the clinical practitioner. The authors have included numerous patterns previously not described in the English language literature as well as many complex patterns which are commonly seen in real-life practice in the West. It also includes a symptom-sign index and a formula index for easy reference. All medicinal names in this new edition conform to Bensky et al.'s Chinese Herbal Medicine: Materia Medica 3rd edition, and all Chinese medical terminology corresponds to Wiseman and Feng's A Practical Dictionary of Chinese Medicine. Ingredients in Chinese medicinal formulas begin with their pinyin names and are listed down for easier reference. In addition, this new edition contains a number of case histories for use in problem-based learning (PBL) along with suggested answers, thus making it even more useful in the classroom.

Volume eight in this highly acclaimed series discusses the behavioral approaches to pattern recognition and concept formation in two sections: categories and concepts in birds, and shape and form. An ideal reference for students and professionals in experimental psychology and behavioral analysis.

The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. "For both applied and theoretical statisticians as well as investigators working in the many areas in which relevant use can be made of discriminant techniques, this monograph provides a modern, comprehensive, and systematic account of discriminant analysis, with the focus on the more recent advances in the field." –SciTech Book News ". . . a very useful source of information for any researcher working in discriminant analysis and pattern recognition." –Computational Statistics Discriminant Analysis and Statistical Pattern Recognition provides a systematic account of the subject. While the focus is on practical considerations, both theoretical and practical issues are explored. Among the advances covered are regularized discriminant analysis and bootstrap-based assessment of the performance of a sample-based discriminant rule, and extensions of discriminant analysis motivated by problems in statistical image analysis. The accompanying bibliography contains over 1,200 references.

At TCM colleges in China, undergraduates learn a basic repertoire of between 50 and 100 herbal formulas. This includes one or two formulas from each of 21 major categories. By learning to modify this core group of formulas with additions and subtractions, one will have a basic repertoire of formulas for most clinical occasions. This book is not meant to replace or compete with Bensky & Barolet's Chinese Herbal Medicine: Formulas & Strategies. It is meant as an outline for prioritized study and use by under-graduates and new practitioners.