
- 290 pages
- English
- PDF
- Available on iOS & Android
Application of Machine Learning
About this book
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.
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Information
Table of contents
- Application of Machine Learning
- Preface
- Contents
- 1. MACHINE LEARNING METHODS IN THE APPLICATION OF SPEECH EMOTION RECOGNITION
- 2. Automatic Internet Traffic Classification for Early Application Identification
- 3. A Greedy Approach for Building Classification Cascades
- 4. Neural Network Multi Layer Perceptron Modeling For Surface Quality Prediction in Laser Machining
- 5. Using Learning Automata to Enhance Local-Search Based SAT Solvers with Learning Capability
- 6. Comprehensive and Scalable Appraisals of Contemporary Documents
- 7. Building an application - generation of‘items tree’ based on transactional data
- 8. pplications of Support Vector Machines in Bioinformatics and Network Security
- 9. Machine learning for functional brain mapping
- 10. The Application of Fractal Concept to Content-BasedImage Retrieval
- 11. Gaussian Processes and its Application to the design of Digital Communication Receivers
- 12. Adaptive Weighted Morphology Detection Algorithm of Plane Objectin Docking Guidance System
- 13. Model-based Reinforcement Learning with Model Errorand Its Application
- 14. Objective-based Reinforcement Learning System for Cooperative Behavior Acquisition
- 15. Heuristic Dynamic Programming Nonlinear Optimal Controller
- 16. Multi-Scale Modeling and Analysis of Left Ventricular Remodeling Post MyocardialInfarction: Integration of Experimental andComputational Approaches