000			03137nam a2200169Ia 4500
008			140223b2008 xxu||||| |||| 00| 0 eng d
020			_a1599049410 _c0.00
082			_a004 _bSUG
100			_aSugumaran, Vijayan
245			_aIntelligent Information Technologies: Concepts, Methodologies, Tools and Applications Vol. - I
260			_aHurshey USA _bInformation Science Reference (IGI Global) _c2008
300			_a574p + 17p
500			_aSection 1. Fundamental Concepts and Theories Chapter 1.1. An Overview of Multimodal Interaction Techniques and Applications Chapter 1.2. Attack of the Rainbow Bots: Generating Diversity through Multi-Agent Systems Chapter 1.3. Pervasive Computing: What is it Anyway? Chapter 1.4. Reconstructing Human Intelligence within Computational Sciences: An Introductory Essay Chapter 1.5. Agent-Oriented Methodologies: An Introduction Chapter 1.6. A Tutorial on Hierarchical Classification with Applications in Bioinformatics Chapter 1.7. Introduction to Speech Recognition Chapter 1.8. Speaker Recognition Chapter 1.9. Declarative Planning and Knowledge Representation in an Action Language Thomas Eiter, Wolfgang Faber, Gerald Pfeifer, and Axel Polleres Chapter 1.10. Artificial Neural Networks: Applications in Finance and Manufacturing Chapter 1.11. A Cooperative Communicative Intelligent Agent Model for E-Commerce Chapter 1.12. Intrusion Detection Using Modern Techniques: Integration of Genetic Algorithms and Rough Set with Neural Nets Chapter 1.13. Several Approaches to Variable Selection by Means of Genetic Algorithms Chapter 1.14. Genetic Programming Chapter 1.15. Intelligent Data Analysis Chapter 1.16. Learning Bayesian Networks Chapter 1.17. Ontologies and E-Learning: How to Teach a Classification Chapter 1.18. On Measuring the Attributes of Evolutionary Algorithms: A Comparison of Algorithms Used for Information Retrieval Chapter 1.19. Combining Requirements Engineering and Agents Chapter 1.20. Computational Intelligence Techniques Section 2. Development and Design Methodologies Chapter 2.2. Trust Models for Ubiquitous Mobile Systems Chapter 2.3. Machine Learning for Agents and Multi-Agent Systems Chapter 2.4. Bayesian Modelling for Machine Learning Chapter 2.5. A Bayesian Framework for Improving Clustering Accuracy of Protein Sequences Based on Association Rules Chapter 2.6. The Agent-Oriented Methodology MAS-CommonKADS Chapter 2.7. Creating a Comprehensive Agent-Oriented Methodology: Using Method Engineering and the OPEN Metamodel Chapter 2.8. From Requirements to Code with the PASSI Methodology Chapter 2.9. Engineering Adaptive Multi-Agent Systems: The ADELFE Methodology Carole Chapter 2.10. Question Answering from Procedural Semantics to Model Discovery Chapter 2.11. Fuzzy Logic Usage in Emotion Communication of Human Machine Interaction Chapter 2.12. Designing Online Games Assessment as "Information Trails"
600			_aInformation Technology
890			_aUSA
995			_ASUG _B006728 _CNVV-NVV _D10070.55 _E0 _F049 _GIN514 _H0 _I0.00 _J14595 31% _L20080122 _UC _W20080208 _XKushal Books _ZReference
999			_c81891 _d81891