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Machine Learning
Edited by Abdelhamid Mellouk and Abdennacer Chebira, ISBN 978-953-7619-56-1, Hard cover, 450 pages, Publisher: InTech, Published: January 01, 2009 under CC BY-NC-SA 3.0 license, in subject Artificial Intelligence
DOI: 10.5772/101
Machine Learning can be defined in various ways related to a scientific domain concerned with the design and development of theoretical and implementation tools that allow building systems with some Human Like intelligent behavior. Machine learning addresses more specifically the ability to improve automatically through experience.
This book is indexed in:
Book contents
- Chapter 1Neural Machine Learning Approaches: Q-Learning and Complexity Estimation Based Information Processing System
- Chapter 2From Automation To Autonomy
- Chapter 3Taking Experience to a Whole New Level
- Chapter 4Hamiltonian Neural Networks Based Networks for Learning
- Chapter 5Similarity Discriminant Analysis
- Chapter 6Forced Information for Information-Theoretic Competitive Learning
- Chapter 7Learning to Build a Semantic Thesaurus from Free Text Corpora without External Help
- Chapter 8Machine Learning Methods for Spoken Dialogue Simulation and Optimization
- Chapter 9Hardening Email Security via Bayesian Additive Regression Trees
- Chapter 10Learning Optimal Web Service Selections in Dynamic Environments when Many Quality-of-Service Criteria Matter
- Chapter 11Model Selection for Ranking SVM Using Regularization Path
- Chapter 12Generation of Facial Expression Map using Supervised and Unsupervised Learning
- Chapter 13Linear Subspace Learning for Facial Expression Analysis
- Chapter 14Resampling Methods for Unsupervised Learning from Sample Data
- Chapter 153D Shape Classification and Retrieval Using Heterogenous Features and Supervised Learning
- Chapter 16Performance Analysis of Hybrid Non-Supervised & Supervised Learning Techniques Applied to the Classification of Faults in Energy Transport Systems
- Chapter 17Genetic Network Programming with Reinforcement Learning and Its Application to Creating Stock Trading Rules
- Chapter 18Heuristic Dynamic Programming Nonlinear Optimal Controller
- Chapter 19Implicit Estimation of Another's Intention Based on Modular Reinforcement Learning
- Chapter 20Machine Learning for Sequential Behavior Modeling and Prediction
