Machine Learning

Machine Learning

Free artificial intelligence book: “Machine Learning”, edited by Abdelhamid Mellouk and Abdennacer Chebira, from InTech. Download it in pdf format or you can read this book online.


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.

Table of Contents

  • Neural Machine Learning Approaches: Q-Learning and Complexity Estimation Based Information Processing System
  • From Automation To Autonomy
  • Taking Experience to a Whole New Level
  • Hamiltonian Neural Networks Based Networks for Learning
  • Similarity Discriminant Analysis
  • Forced Information for Information-Theoretic Competitive Learning
  • Learning to Build a Semantic Thesaurus from Free Text Corpora without External Help
  • Machine Learning Methods for Spoken Dialogue Simulation and Optimization
  • Hardening Email Security via Bayesian Additive Regression Trees
  • Learning Optimal Web Service Selections in Dynamic Environments when Many Quality-of-Service Criteria Matter
  • Model Selection for Ranking SVM Using Regularization Path
  • Generation of Facial Expression Map using Supervised and Unsupervised Learning
  • Linear Subspace Learning for Facial Expression Analysis
  • Resampling Methods for Unsupervised Learning from Sample Data
  • 3D Shape Classification and Retrieval Using Heterogenous Features and Supervised Learning
  • Performance Analysis of Hybrid Non-Supervised & Supervised Learning Techniques Applied to the Classification of Faults in Energy Transport Systems
  • Genetic Network Programming with Reinforcement Learning and Its Application to Creating Stock Trading Rules
  • Heuristic Dynamic Programming Nonlinear Optimal Controller
  • Implicit Estimation of Another’s Intention Based on Modular Reinforcement Learning
  • Machine Learning for Sequential Behavior Modeling and Prediction

Book Details

Author(s): Abdelhamid Mellouk and Abdennacer Chebira.
Publisher: InTech
Format(s): PDF
File size: 45.21 MB
Number of pages: 450
Link: Download.

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