Intelligent Information Technologies: Concepts, Methodologies, Tools and Applications Vol. - I
Material type:
- 1599049410
- 004 SUG
Item type | Current library | Item location | Collection | Call number | Status | Date due | Barcode | Item holds | |
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NIMA Knowledge Centre | 7th Floor Silence Zone | Reference | 004 SUG (Browse shelf(Opens below)) | Not For Loan | M0023369 |
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Section 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"
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