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Computer and Information Science » Artificial Intelligence
Tools in Artificial Intelligence
Edited by Paula Fritzsche, ISBN 978-953-7619-03-9, Hard cover, 488 pages, Publisher: InTech, Chapters published August 01, 2008 under CC BY-NC-SA 3.0 license
DOI: 10.5772/74
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.
- Chapter 1
Computational Intelligence in Software Cost Estimation: Evolving Conditional Sets of Effort Value Ranges - Chapter 2
Towards Intelligible Query Processing in Relevance Feedback-Based Image Retrieval Systems - Chapter 3
GNGS: An Artificial Intelligent Tool for Generating and Analyzing Gene Networks from Microarray Data - Chapter 4
Preferences over Objects, Sets and Sequences - Chapter 5
Competency-based Learning Object Sequencing using Particle Swarms - Chapter 6
Image Thresholding of Historical Documents Based on Genetic Algorithms - Chapter 7
Segmentation of Greek Texts by Dynamic Programming - Chapter 8
Applying Artificial Intelligence to Predict the Performance of Data-dependent Applications - Chapter 9
Agent Systems in Software Engineering - Chapter 10
A Joint Probability Data Association Filter Algorithm for Multiple Robot Tracking Problems - Chapter 11
Symbiotic Evolution of Rule Based Classifiers - Chapter 12
A Multiagent Method to Design Open Embedded Complex Systems - Chapter 13
Content-based Image Retrieval Using Constrained Independent Component Analysis: Facial Image Retrieval Based on Compound Queries - Chapter 14
Text Classification Aided by Clustering: a Literature Review - Chapter 15
A Review of Past and Future Trends in Perceptual Anchoring - Chapter 16
A Cognitive Vision Approach to Image Segmentation - Chapter 17
An Introduction to the Problem of Mapping in Dynamic Environments - Chapter 18
Inductive Conformal Prediction: Theory and Application to Neural Networks - Chapter 19
Robust Classification of Texture Images using Distributional-based Multivariate Analysis - Chapter 20
Recent Developments in Bit-Parallel Algorithms - Chapter 21
Multi-Sensor Fusion for Mono and Multi-Vehicle Localization using Bayesian Network - Chapter 22
On the Definition of a Standard Language for Modelling Constraint Satisfaction Problems - Chapter 23
Software Component Clustering and Retrieval: An Entropy-based Fuzzy k-Modes Methodology - Chapter 24
An Agent-Based System to Minimize Earthquake-Induced Damages - Chapter 25
A Methodology for the Extraction of Reader's Emotional State Triggered from Text Typography - Chapter 26
Granule Based Inter-transaction Association Rule Mining - Chapter 27
Countering Good Word Attacks on Statistical Spam Filters with Instance Differentiation and Multiple Instance Learning
