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Application of Machine Learning
Edited by Yagang Zhang, ISBN 978-953-307-035-3, Hard cover, 280 pages, Publisher: InTech, Published: February 01, 2010 under CC BY-NC-SA 3.0 license, in subject Artificial Intelligence
DOI: 10.5772/190
The goal of this book is to present the latest applications of machine learning, which mainly include: speech recognition, traffic and fault classification, surface quality prediction in laser machining, network security and bioinformatics, enterprise credit risk evaluation, and so on. This book will be of interest to industrial engineers and scientists as well as academics who wish to pursue machine learning. The book is intended for both graduate and postgraduate students in fields such as computer science, cybernetics, system sciences, engineering, statistics, and social sciences, and as a reference for software professionals and practitioners. The wide scope of the book provides them with a good introduction to many application researches of machine learning, and it is also the source of useful bibliographical information.
This book is indexed in:
Book contents
- Chapter 1Machine Learning Methods in the Application of Speech Emotion Recognition
- Chapter 2Automatic Internet Traffic Classification for Early Application Identification
- Chapter 3A Greedy Approach for Building Classification Cascades
- Chapter 4Neural Network Multi Layer Perceptron Modeling For Surface Quality Prediction in Laser Machining
- Chapter 5Using Learning Automata to Enhance Local-Search Based SAT Solvers with Learning Capability
- Chapter 6Comprehensive and Scalable Appraisals of Contemporary Documents
- Chapter 7Building an Application - Generation of �Items Tree’ Based on Transactional Data
- Chapter 8Applications of Support Vector Machines in Bioinformatics and Network Security
- Chapter 9Machine Learning for Functional Brain Mapping
- Chapter 10The Application of Fractal Concept to Content-Based Image Retrieval
- Chapter 11Gaussian Processes and its Application to the design of Digital Communication Receivers
- Chapter 12Adaptive Weighted Morphology Detection Algorithm of Plane Object in Docking Guidance System
- Chapter 13Model-based Reinforcement Learning with Model Error and Its Application
- Chapter 14Objective-based Reinforcement Learning System for Cooperative Behavior Acquisition
- Chapter 15Heuristic Dynamic Programming Nonlinear Optimal Controller
- Chapter 16Multi-Scale Modeling and Analysis of Left Ventricular Remodeling Post Myocardial Infarction: Integration of Experimental and Computational Approaches