COLT

Patented in 1836, the Colt pistol with its revolving cylinder was the first practical firearm that could shoot more than one bullet without reloading. Its most immediate impact was on the expansionism of the American west, where white emigrants and US soldiers came to depend on it, and where Native Americans came to dread it. In making the revolver, Colt also changed American manufacturing, and revolutionized industry in the United States. Rasenberger brings the brazenly ambitious and profoundly innovative industrialist and leader Samuel Colt to vivid life. During an age of promise and progress, and also of slavery, corruption, and unbridled greed, Colt not only helped to create this America, he completely embodied it.-- adapted from info provided

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.

Vol. 1, pt. 1 begins with C. L. Smith's reports, Nov. 1895.

Presenting interdisciplinary research at the forefront of present advances in information technologies and their foundations, Scientific Applications of Language Methods is a multi-author volume containing pieces of work (either original research or surveys) exemplifying the application of formal language tools in several fields, including logic and discrete mathematics, natural language processing, artificial intelligence, natural computing and bioinformatics.