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Caminho sem volta
Caminho sem Volta é um grande livro de um grande autor. Tudo se entrelaça de uma forma vertiginosa e tal como nas tragédias gregas, a vida humana é exposta em sofrimentos silenciados, traições, amores frustrados, mas também amor festejado, violências e ternuras, fracassos e superações. Os personagens solares da trama Custódio e Antônia oferecem ao leitor grandes momentos de encantamento e reflexão na sabedoria adquirida na tragédia e na saga vivida por ambos. Ela, por viver o conflito da atração e da rejeição sexual com as mesmas intensidades. O amor do marido Prudente, desconfiado e tolerante, é incompleto para ela. De repente surgem personagens inesperados: Mariana, filh...
Handbook of Latin American Studies
Contains scholarly evaluations of books and book chapters as well as conference papers and articles published worldwide in the field of Latin American studies. Covers social sciences and the humanities in alternate years.
A Dictionary of German-Jewish Surnames
This dictionary identifies more than 13,000 German-Jewish surnames from the area that was pre-World War I Germany. From Baden-Wuerttemburg in the south to Schleswig-Holstein in the north. From Westfalen in the west to East Prussia in the east. In addition to providing the etymology and variants of each name, it identifies where in the region the name appeared, identifying the town and time period. More than 300 sources were used to compile the book. A chapter provides the Jewish population in many towns in the 19th century.
National Union Catalog
Includes entries for maps and atlases.
Este mar catarina
None
Pattern Recognition and Machine Learning
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.
