Tools in Artificial Intelligence
eBook - PDF

Tools in Artificial Intelligence

  1. 490 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Tools in Artificial Intelligence

About this book

This book offers in 27 chapters a collection of all the technical aspects of specifying, developing, and evaluating the theoretical underpinnings and applied mechanisms of AI tools. Topics covered include neural networks, fuzzy controls, decision trees, rule-based systems, data mining, genetic algorithm and agent systems, among many others. The goal of this book is to show some potential applications and give a partial picture of the current state-of-the-art of AI. Also, it is useful to inspire some future research ideas by identifying potential research directions. It is dedicated to students, researchers and practitioners in this area or in related fields.

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Yes, you can access Tools in Artificial Intelligence by Paula Fritzsche in PDF and/or ePUB format, as well as other popular books in Computer Science & Databases. We have over one million books available in our catalogue for you to explore.

Information

Publisher
IntechOpen
Year
2008
Print ISBN
9789537619039
eBook ISBN
9789535157946
Topic
Computer Science
Subtopic
Databases
Index
Computer Science

Table of contents

  1. Tools in Artificial Intelligence
  2. Preface
  3. Contents
  4. 1. Computational Intelligence in Software Cost Estimation: Evolving Conditional Sets of Effort Value Ranges
  5. 2. Towards Intelligible Query Processing in Relevance Feedback-Based Image Retrieval Systems
  6. 3. GNGS: An Artificial Intelligent Tool for Generating and Analyzing Gene Networksfrom Microarray Data
  7. 4. Preferences over Objects, Sets and Sequences
  8. 5. Competency-based Learning Object Sequencing using Particle Swarms
  9. 6. Image Thresholding of Historical Documents Based on Genetic Algorithms
  10. 7. Segmentation of Greek Texts by Dynamic Programming
  11. 8. Applying Artificial Intelligence to Predict the Performance of Data-dependent Applications
  12. 9. Agent Systems in Software Engineering
  13. 10. A Joint Probability Data Association Filter Algorithm for Multiple Robot Tracking Problems
  14. 11. Symbiotic Evolution of Rule Based Classifiers
  15. 12. A Multiagent Method to Design Open Embedded Complex Systems
  16. 13. Content-based Image Retrieval UsingConstrained Independent Component Analysis:Facial Image Retrieval Based onCompound Queries
  17. 14. Text Classification Aided by Clustering:a Literature Review
  18. 15. A Review of Past and Future Trends inPerceptual Anchoring.
  19. 16. A Cognitive Vision Approach to Image Segmentation
  20. 17. An Introduction to the Problem of Mapping in Dynamic Environments
  21. 18. Inductive Conformal Prediction: Theory and Application to Neural Networks
  22. 19. Robust Classification of Texture Images using Distributional-based Multivariate Analysis
  23. 20. Recent Developments in Bit-Parallel Algorithms
  24. 21. Multi-Sensor Fusion for Mono and Multi-Vehicle Localization using Bayesian Network
  25. 22. On the Definition of a Standard Language for Modelling Constraint Satisfaction Problems
  26. 23. Software Component Clustering and Retrieval:An Entropy-based Fuzzy k-Modes Methodology
  27. 24. An Agent-Based System to Minimize Earthquake-Induced Damages
  28. 25. A Methodology for the Extraction ofReader’s Emotional State Triggeredfrom Text Typography
  29. 26. Granule Based Inter-transaction Association Rule Mining
  30. 27. Countering Good Word Attacks on Statistical Spam Filters with Instance Differentiation andMultiple Instance Learning