Tim Jones M. Al Application Programming (на английском) + Исходный код всех примеров из книги

Издательство MIT Press, 2010, -581 pp. Machine learning is programming computers to optimize a performance criterion using example data or past experience. We need learning in cases where we cannot directly write a computer program to solve a given problem, but need example data or experience. One case where learning is necessary is when human expertise does not exist, or when humans are unable to explain their expertise. Consider the recognitio...

Jones and Bartlett Publishers, Inc. , 2004 Достаточно свежая монография по состоянию дел в ИИ-области. Написана в американском стиле - как руководство по пользованию микроволновкой. Книга, безусловно, полезна для ознакомления с тематикой ИИ и в качестве учебника по соответствующим спецкурсам.

This book offers students and AI programmers a new perspective on the study of artificial intelligence concepts. The essential topics and theory of AI are presented, but it also includes practical information on data input & reduction as well as data output (i.e. , algorithm usage). Because traditional AI concepts such as pattern recognition, numerical optimization and data mining are now simply types of algorithms, a different approach is ne...

Издательство InTech, 2009, -430 pp. Machine Learning is often referred to as a branch of artificial intelligence which deals with the design and the development of algorithms and techniques that help machines to learn. Hence, it is closely related to various scientific domains as Optimization, Vision, Robotic and Control, Theoretical Computer Science, etc. Based on this, Machine Learning can be defined in various ways related to a scientific do...

Издательство Addison Wesley, 2005, -331 pp. Artificial intelligence (AI) has been in existence almost as long as computers. However, only recently have AI techniques been widely incorporated by companies to enhance traditional business applications. Building Intelligent .NET Applications is an introduction to the world of Artificial Intelligence (AI) for .NET programmers. It is the first book to show professional .NET developers how to incorpora...

Издательство Morgan & Claypool, 2008, -100 pp. Artificial systems that think and behave intelligently are one of the most exciting and challenging goals of Artificial Intelligence. Action Programming is the art and science of devising high-level control strategies for autonomous systems which employ a mental model of their environment and which reason about their actions as a means to achieve their goals. Applications of this programming par...

Издательство Elsevier, 2008, -1035 pp. Knowledge Representation and Reasoning is at the heart of the great challenge of Artificial Intelligence: to understand the nature of intelligence and cognition so well that computers can be made to exhibit human-like abilities. As early as 1958, John McCarthy contemplated Artificial Intelligence systems that could exercise common sense. From this and other early work, researchers gained the conviction that...

Из серии Foundations and Trends in Machine Learning издательства NOWPress, 2008, -305 pp. The formalism of probabilistic graphical models provides a unifying framework for capturing complex dependencies among random variables, and building large-scale multivariate statistical models. Graphical models have become a focus of research in many statistical, computational and mathematical fields, including bioinformatics, communication theory, statist...

Издательство Idea Group, 2007, -384 pp. Machine learning is the study of how to build computer programs that improve their performance at some task through experience. The hallmark of machine learning is that it results in an improved ability to make better decisions. Machine learning algorithms have proven to be of great practical value in a variety of application domains. Not surprisingly, the field of software engineering turns out to be a fe...