Издательство Springer, 2010, -241 pp.A large international conference on Advances in Machine Learning and Data Analysis was held in UC Berkeley, CA, USA, October 22–24, 2008, under the auspices of the World Congress on Engineering and Computer Science (WCECS 2008). The WCECS is organized by the International Association of Engineers (IAENG). IAENG is a non-profit international association for the engineers and the computer scientists, which was founded in 1968 and has been undergoing rapid expansions in recent years. The WCECS conferences have served as excellent venues for the engineering community to meet with each other and to exchange ideas. Moreover, WCECS continues to strike a balance between theoretical and application development. The conference committees have been formed with over two hundred members who are mainly research center heads, deans, department heads (chairs), professors, and research scientists from over thirty countries. The conference participants are also truly international with a high level of representation from many countries. The responses for the congress have been excellent. In 2008, we received more than six hundred manuscripts, and after a thorough peer review process 56.71% of the papers were accepted.
This volume contains sixteen revised and extended research articles written by prominent researchers participating in the conference. Topics covered include Expert system, Intelligent decision making, Knowledge-based systems, Knowledge extraction, Data analysis tools, Computational biology, Optimization algorithms, Experiment designs, Complex system identification, Computational modeling, and industrial applications. The book offers the state of the art of tremendous advances in machine learning and data analysis and also serves as an excellent reference text for researchers and graduate students, working on machine learning and data analysis.2D/3D Image Data Analysis for Object Tracking and Classification
Robot Competence Development by Constructive Learning
Using DigitalWatermarking for Securing Next Generation Media Broadcasts
A Reduced-Dimension ProcessorModel
Hybrid Machine Learning Model for Continuous Microarray Time Series
An Asymptotic Method to a Financial Optimization Problem
Analytical Design of Robust Multi-loop PI Controller for Multi-time Delay
Automatic and Semi-automaticMethods for the Detection of Quasars in Sky Surveys
Improving Low-Cost Sail Simulator Results by Artificial Neural Networks Models
Rough Set Approaches to Unsupervised Neural Network Based Pattern Classifier
A New Robust Combined Method for Auto Exposure and AutoWhite-Balance
A Mathematical Analysis Around Capacitive Characteristics of the Current of CSCT: Optimum Utilization of Capacitors of Harmonic Filters
Harmonic Analysis and Optimum Allocation of Filters in CSCT
Digital Pen and Paper Technology as a Means of Classroom Administration Relief
A Conceptual Model for a Network-Based Assessment Security System
Incorrect Weighting of Absolute Performance in Self-Assessment
