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"Fans of quick reads like James Patterson's popular 'BookShots' series will be well served by this thriller's fast pace." — Library Journal Every law firm has its backroom bench of brilliant workaholic nerds ferocious in their commitment to the law and to their clients. Such a player is Milton Bernstein of Abbott & Windsor. He's highly valued by the partners for his skills, but untested in the courtroom. Milton's younger brother, Hal, is his polar opposite-strikingly handsome, a high-school baseball legend in St. Louis who was on his way to the major leagues until he destroyed his prospects in a motorcycle accident. Hal had been, and still is, the adored Bernstein brother-worshipped by his...
My Brain on Fire
This is Leonard Pitt’s story of growing up the misfit in Detroit in the 1940s and 50s. In a later age he would have been put on Ritalin and paraded before psychiatrists because he couldn’t pay attention in school. In 1962, at the end of a misguided foray towards a career in advertising he took the ultimate cure, a trip to Paris. He thought it would only be a visit. He stayed seven years. There in the City of Light, Leonard’s mind exploded. And it hasn’t stopped since. Studying mime with master Etienne Decroux and living in Paris were the university he never knew. This inspiration unleashed a voracious appetite to understand the “why” of things. He asked a simple question, “Why did the ballet go up?” While building a theatre career performing and teaching, he embarked on a quest to study the origins of the ballet, the history of early American popular music, the pre-Socratic philosophers, early modern science, the European witch hunt, the history of Paris, and more. To his unschooled mind it all fits together. Who would see a historical arc between Louis XIV and Elvis Presley? Leonard does. And he’ll tell you about it.
Success with Reading: 10 Easy-To-Read American History Plays That Reach All Kinds of Readers
All students love learning history with these exciting, easy-to-read plays. The plays are all written on a 3rd grade reading level, so even your most challenged readers will be successful. Topics covered include Columbus’s explorations, Jamestown, the Pilgrims, the Boston Tea Party, the Underground Railroad, the Civil War, Immigration, and more. Also includes creative activities, Web and literature links, background information, and vocabulary lists. For use with Grades 4-8.
Chile, Peru, and the California Gold Rush of 1849
This title is part of UC Press's Voices Revived program, which commemorates University of California Press’s mission to seek out and cultivate the brightest minds and give them voice, reach, and impact. Drawing on a backlist dating to 1893, Voices Revived makes high-quality, peer-reviewed scholarship accessible once again using print-on-demand technology. This title was originally published in 1973.
COLT Proceedings 1990
COLT '90 covers the proceedings of the Third Annual Workshop on Computational Learning Theory, sponsored by the ACM SIGACT/SIGART, University of Rochester, Rochester, New York on August 6-8, 1990. The book focuses on the processes, methodologies, principles, and approaches involved in computational learning theory. The selection first elaborates on inductive inference of minimal programs, learning switch configurations, computational complexity of approximating distributions by probabilistic automata, and a learning criterion for stochastic rules. The text then takes a look at inductive identification of pattern languages with restricted substitutions, learning ring-sum-expansions, sample co...
COLT '89
Computational Learning Theory presents the theoretical issues in machine learning and computational models of learning. This book covers a wide range of problems in concept learning, inductive inference, and pattern recognition. Organized into three parts encompassing 32 chapters, this book begins with an overview of the inductive principle based on weak convergence of probability measures. This text then examines the framework for constructing learning algorithms. Other chapters consider the formal theory of learning, which is learning in the sense of improving computational efficiency as opposed to concept learning. This book discusses as well the informed parsimonious (IP) inference that generalizes the compatibility and weighted parsimony techniques, which are most commonly applied in biology. The final chapter deals with the construction of prediction algorithms in a situation in which a learner faces a sequence of trials, with a prediction to be given in each and the goal of the learner is to make some mistakes. This book is a valuable resource for students and teachers.
