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Morgan Kaufmann

Building an Object-Oriented Database System
1st Edition
Francois Bancilhon + 2 more
English
Modern database and software system technology must respond to a wide variety of needs. Advanced applications such as office automation, CAD, or software engineering have new requirements in design environments, transaction mechanisms, and data types. This comprehensive volume by designers, implementors and users covers all aspects of building an object-oriented software system from data model through system implementation, interfaces, and applications. Utilizing techniques from databases, object-oriented languages, programming environments, and user interfaces, O2 is a landmark object-oriented database system representing a new generation of database technology. This guide will help researchers, database designers, and users to assess the nature and potential of object-oriented technology for themselves.
Database Transaction Models for Advanced Applications
1st Edition
Ahmed K. Elmagarmid
English
This collection offers the reader a broad survey of the role of transaction processing in advanced computer applications. It contains an introduction to traditional transaction technology, and comprehensive descriptions of commercial systems and research projects.This volume will help anyone interested in keeping up with database applications and the potential for transaction processing systems to address the needs of OLTP, CAD, CASE, computer aided publishing, heterogeneous databases, active databases, communications, systems and other areas.For researchers, managers, software developers, professionals in the data processing fields, or anyone interested in a coherent overview of this new and fast growing area of computer science.
Meta-Level Inference Systems
1st Edition
Frank van Harmelen
English
Paradigms of Artificial Intelligence Programming
Case Studies in Common Lisp
1st Edition
Peter Norvig
English
Paradigms of AI Programming is the first text to teach advanced Common Lisp techniques in the context of building major AI systems. By reconstructing authentic, complex AI programs using state-of-the-art Common Lisp, the book teaches students and professionals how to build and debug robust practical programs, while demonstrating superior programming style and important AI concepts. The author strongly emphasizes the practical performance issues involved in writing real working programs of significant size. Chapters on troubleshooting and efficiency are included, along with a discussion of the fundamentals of object-oriented programming and a description of the main CLOS functions. This volume is an excellent text for a course on AI programming, a useful supplement for general AI courses and an indispensable reference for the professional programmer.
IJCAI Proceedings 1991
1st Edition
IJCAI
English
Machine Learning
A Theoretical Approach
1st Edition
Balas K. Natarajan
English
This is the first comprehensive introduction to computational learning theory. The author's uniform presentation of fundamental results and their applications offers AI researchers a theoretical perspective on the problems they study. The book presents tools for the analysis of probabilistic models of learning, tools that crisply classify what is and is not efficiently learnable. After a general introduction to Valiant's PAC paradigm and the important notion of the Vapnik-Chervonenkis dimension, the author explores specific topics such as finite automata and neural networks. The presentation is intended for a broad audience--the author's ability to motivate and pace discussions for beginners has been praised by reviewers. Each chapter contains numerous examples and exercises, as well as a useful summary of important results. An excellent introduction to the area, suitable either for a first course, or as a component in general machine learning and advanced AI courses. Also an important reference for AI researchers.
The KBMT Project
A Case Study in Knowledge-Based Machine Translation
1st Edition
Kenneth Goodman + 1 more
English
Machine translation of natural languages is one of the most complex and comprehensive applications of computational linguistics and artificial intelligence. This is especially true of knowledge-based machine translation (KBMT) systems, which require many knowledge resources and processing modules to carry out the necessary levels of analysis, representation and generation of meaning and form. The number of real-world problems, tasks, and solutions involved in developing any realistic-size knowledge-based machine translation system is enormous. It is thus difficult for researchers in the field to learn what a system "really does".This book fills that need with a detailed case study of a KBMT system implemented at the Center for Machine Translation at Carnegie Mellon University. The research consists in part of the creation of a system for translation between English and Japanese. The corpora used in the project were manuals for installing and maintaining IBM personal computers (sponsorship by IBM, through its Tokyo Research Laboratory) Individual chapters describe the interlingua texts used in knowledge-based machine translation, the grammar formalism embodied in the system, the grammars and lexicons and their roles in the translation process, the process of source language analysis, an augmentation module that interactively and automatically resolves ambiguities remaining after source language analysis, and the generator, which produces target language sentences. Detailed appendices illustrate the process from analysis through generation.This book is intended for developers, researchers and advanced students in natural language processing and computational linguistics, including all those who have an interest in machine translation and machine-aided translation.
Foundations of Genetic Algorithms 1991 (FOGA 1)
1st Edition
Volume 1
Gregory J.E. Rawlins
English
Foundations of Genetic Algorithms 1991 (FOGA 1) discusses the theoretical foundations of genetic algorithms (GA) and classifier systems. This book compiles research papers on selection and convergence, coding and representation, problem hardness, deception, classifier system design, variation and recombination, parallelization, and population divergence. Other topics include the non-uniform Walsh-schema transform; spurious correlations and premature convergence in genetic algorithms; and variable default hierarchy separation in a classifier system. The grammar-based genetic algorithm; conditions for implicit parallelism; and analysis of multi-point crossover are also elaborated. This text likewise covers the genetic algorithms for real parameter optimization and isomorphisms of genetic algorithms. This publication is a good reference for students and researchers interested in genetic algorithms.
Readings in Machine Learning
1st Edition
Jude Shavlik + 1 more
English
The ability to learn is a fundamental characteristic of intelligent behavior. Consequently, machine learning has been a focus of artificial intelligence since the beginnings of AI in the 1950s. The 1980s saw tremendous growth in the field, and this growth promises to continue with valuable contributions to science, engineering, and business.Readings in Machine Learning collects the best of the published machine learning literature, including papers that address a wide range of learning tasks, and that introduce a variety of techniques for giving machines the ability to learn. The editors, in cooperation with a group of expert referees, have chosen important papers that empirically study, theoretically analyze, or psychologically justify machine learning algorithms. The papers are grouped into a dozen categories, each of which is introduced by the editors.
Innovative Approaches to Planning, Scheduling and Control
Proceedings of the 1990 DARPA Workshop
1st Edition
DARPA
English

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