To purchase hard copies of this book, please email:
orders@intechopen.com
By only printing on demand InTech ensures our carbon footprint is kept to a minimum.
The data below shows the environmental impact of printing one single book:
70.42 kg wood
3.79 g CO2
63.94 ml Water
Share this page
Tools in Artificial Intelligence
Edited by Paula Fritzsche, ISBN 978-953-7619-03-9, Hard cover, 488 pages, Publisher: InTech, Published: August 01, 2008 under CC BY-NC-SA 3.0 license, in subject Artificial Intelligence
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.
This book is indexed in:
Book contents
- Chapter 1Computational Intelligence in Software Cost Estimation: Evolving Conditional Sets of Effort Value Ranges
- Chapter 2Towards Intelligible Query Processing in Relevance Feedback-Based Image Retrieval Systems
- Chapter 3GNGS: An Artificial Intelligent Tool for Generating and Analyzing Gene Networks from Microarray Data
- Chapter 4Preferences over Objects, Sets and Sequences
- Chapter 5Competency-based Learning Object Sequencing using Particle Swarms
- Chapter 6Image Thresholding of Historical Documents Based on Genetic Algorithms
- Chapter 7Segmentation of Greek Texts by Dynamic Programming
- Chapter 8Applying Artificial Intelligence to Predict the Performance of Data-dependent Applications
- Chapter 9Agent Systems in Software Engineering
- Chapter 10A Joint Probability Data Association Filter Algorithm for Multiple Robot Tracking Problems
- Chapter 11Symbiotic Evolution of Rule Based Classifiers
- Chapter 12A Multiagent Method to Design Open Embedded Complex Systems
- Chapter 13Content-based Image Retrieval Using Constrained Independent Component Analysis: Facial Image Retrieval Based on Compound Queries
- Chapter 14Text Classification Aided by Clustering: a Literature Review
- Chapter 15A Review of Past and Future Trends in Perceptual Anchoring
- Chapter 16A Cognitive Vision Approach to Image Segmentation
- Chapter 17An Introduction to the Problem of Mapping in Dynamic Environments
- Chapter 18Inductive Conformal Prediction: Theory and Application to Neural Networks
- Chapter 19Robust Classification of Texture Images using Distributional-based Multivariate Analysis
- Chapter 20Recent Developments in Bit-Parallel Algorithms
- Chapter 21Multi-Sensor Fusion for Mono and Multi-Vehicle Localization using Bayesian Network
- Chapter 22On the Definition of a Standard Language for Modelling Constraint Satisfaction Problems
- Chapter 23Software Component Clustering and Retrieval: An Entropy-based Fuzzy k-Modes Methodology
- Chapter 24An Agent-Based System to Minimize Earthquake-Induced Damages
- Chapter 25A Methodology for the Extraction of Reader's Emotional State Triggered from Text Typography
- Chapter 26Granule Based Inter-transaction Association Rule Mining
- Chapter 27Countering Good Word Attacks on Statistical Spam Filters with Instance Differentiation and Multiple Instance Learning
