Encyclopedia of Computer Science and Technology

Description

This supplement to the Encyclopedia of Computer Science and Technology looks at subjects ranging from algorithmic learning theory to statistical language modelling.

Contents

"Algorithmic Learning Theory Akira Marouka and Eiji Takimoto Augmented Reality Reinhold Behringer Chinese Text Spelling Check and Configuration Kin Hong Lee, Qin Lu, and Mau Kit Michael Ng Cluster Computing and Application Mark Baker, Amy Apon, Rajkumar Buyya, and Hai Jin Evaluation of Software Systems Ivo Duntsch, Gunther Gedifa, and Kai-Christoph Hamborg Logic Programming and Deductive Databases with Uncertainty: A Survey Laks V. S. Lakshmanan and Nematollaah Shiri Multilayter Perceptrons and Fractals Jennifter L. Pittman Multimedia Abstract Machine Timothy K. Shih and Anthony Y. Chang Parallel Computing Helmar Burkhart and Jens Volkert Real-Time Constraints Pao-Ann Hsiung Shape Modeling Vladimir Savchenko and Alexander Pasko Statistical Language Modeling Elvira I. Sicilia-Garcia and F. Jack Smith Systems Documentation Sanjay Singh Visual Information Querying Tiziana Catarci and Stefano Spaccapietra Wards and Upgma Clustering of Data with Very High Dimensionality Athman Bouguettaya, Hongming Qi, Je-Ho Park, and Alex Delis "

Related Subjects

1. Theory
2. Computer Science (General)