โ Scribed by Seyed Eghbal Ghobadi, Omar Edmond Loepprich (auth.), Mahyar A. Amouzegar (eds.)
No coin nor oath required. For personal study only.
A large international conference on Advances in Machine Learning and Data Analysis was held in UC Berkeley, California, USA, October 22-24, 2008, under the auspices of the World Congress on Engineering and Computer Science (WCECS 2008). 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. Advances in Machine Learning and Data Analysis 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.
Front Matter....Pages i-viii
2D/3D Image Data Analysis for Object Tracking and Classification....Pages 1-13
Robot Competence Development by Constructive Learning....Pages 15-26
Using Digital Watermarking for Securing Next Generation Media Broadcasts....Pages 27-41
A Reduced-Dimension Processor Model....Pages 43-56
Hybrid Machine Learning Model for Continuous Microarray Time Series....Pages 57-77
An Asymptotic Method to a Financial Optimization Problem....Pages 79-94
Analytical Design of Robust Multi-loop PI Controller for Multi-time Delay Processes....Pages 95-108
Automatic and Semi-automatic Methods for the Detection of Quasars in Sky Surveys....Pages 109-138
Improving Low-Cost Sail Simulator Results by Artificial Neural Networks Models....Pages 139-149
Rough Set Approaches to Unsupervised Neural Network Based Pattern Classifier....Pages 151-163
A New Robust Combined Method for Auto Exposure and Auto White-Balance....Pages 165-178
A Mathematical Analysis Around Capacitive Characteristics of the Current of CSCT: Optimum Utilization of Capacitors of Harmonic Filters....Pages 179-190
Harmonic Analysis and Optimum Allocation of Filters in CSCT....Pages 191-202
Digital Pen and Paper Technology as a Means of Classroom Administration Relief....Pages 203-215
A Conceptual Model for a Network-Based Assessment Security System....Pages 217-230
Incorrect Weighting of Absolute Performance in Self-Assessment....Pages 231-239
Data Mining and Knowledge Discovery; Data Structures
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