ler totalmente Prediction, Learning, and Games

This important text and reference for researchers and students in machine learning, game theory, statistics and information theory offers a comprehensive treatment of the problem of predicting individual sequences. Unlike standard statistical approaches to forecasting, prediction of individual sequences does not impose any probabilistic assumption on the data-generating mechanism. Yet, prediction algorithms can be constructed that work well for all possible sequences, in the sense that their performance is always nearly as good as the best forecasting strategy in a given reference class. The central theme is the model of prediction using expert advice, a general framework within which many related problems can be cast and discussed. Repeated game playing, adaptive data compression, sequential investment in the stock market, sequential pattern analysis, and several other problems are viewed as instances of the experts' framework and analyzed from a common nonstochastic standpoint that often reveals new and intriguing connections.

Procurando Prediction, Learning, and Games? Aqui você encontra tudo sobre este livro de Nicolò Cesa-Bianchi, publicado por Cambridge University Press em 13 de março de 2006. Nesta página estão a descrição da obra, os detalhes da edição (408 páginas) e os formatos disponíveis para baixar: pdf, epub, txt, djvu. Se você gosta de Livros Internacionais, Ciências Tecnológicas, Matemática, Aplicada, Probabilidade e Estatística, explore também outros títulos da mesma categoria no Encontrando os melhores livros. Veja ainda as outras obras de Nicolò Cesa-Bianchi em nosso catálogo.