by Andras Kornai
Number of pages: 90
Mathematical Linguistics introduces the mathematical foundations of linguistics to computer scientists, engineers, and mathematicians interested in natural language processing. The book presents linguistics as a cumulative body of knowledge from the ground up: no prior knowledge of linguistics is assumed. As the first textbook of its kind, this book is useful for those in information science and in natural language technologies.
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by Karl T. Ulrich - University of Pennsylvania
Design is conceiving and giving form to artifacts that solve problems. I use artifact in a broad sense to describe any product of intentional creation, including physical goods, services, software, graphics, buildings, landscapes, and processes.
by Ahmed Rebai (ed.) - InTech
Bayesian networks are a general tool that can be used for a large number of problems involving uncertainty: reasoning, learning, planning and perception. This is a collection of contributions to the methodology and applications of Bayesian networks.
by David Moursund - University of Oregon
This book is designed to help teachers learn about the educational implications of current uses of Artificial Intelligence as an aid to solving problems and accomplishing tasks. The text is designed for self-study or for use in workshops.
by Neil C. Rowe - Prentice-Hall
Artificial intelligence is a hard subject to learn. The author have written a book to make it easier. He explains difficult concepts in a simple, concrete way. This book is intended for all first courses in artificial intelligence.