- Hauptmenü-

Kategorienanzeige

MAB

Advances in Machine Learning and Data Analysis
Kategorie	Beschreibung
036a	XA-NL
037b	eng
087q	978-90-481-3176-1
100	Amouzegar, Mahyar A.
331	Advances in Machine Learning and Data Analysis
410	Dordrecht
412	Springer Netherlands
425	2010
425a	2010
433	Online-Ressource (VIII, 239p, online resource)
451	Lecture Notes in Electrical Engineering ; 48
501	Contains sixteen revised and extended articles from the conference on Advances in Machine Learning and Data Analysis, held in Berkeley, Calif., 2008
501	Includes bibliographical references
517	Advances in Machine Learning and Data Analysis ; Preface ; 1 2D/3D Image Data Analysis for Object Tracking and Classification; 2 Robot Competence Development by Constructive Learning; 3 Using Digital Watermarking for Securing Next Generation Media Broadcasts; 4 A Reduced-Dimension Processor Model; 5 Hybrid Machine Learning Model for Continuous Microarray Time Series; 6 An Asymptotic Method to a Financial Optimization Problem; 7 Analytical Design of Robust Multi-loop PI Controller for Multi-time Delay Processes; 8 Automatic and Semi-automatic Methods for the Detection of Quasars in Sky Surveys. 9 Improving Low-Cost Sail Simulator Results by Artificial Neural Networks Models10 Rough Set Approaches to Unsupervised Neural Network Based Pattern Classifier; 11 A New Robust Combined Method for Auto Exposure and Auto White-Balance; 12 A Mathematical Analysis Around Capacitive Characteristics of the Current of CSCT: Optimum Utilization of Capacitors of Harmonic Filters; 13 Harmonic Analysis and Optimum Allocation of Filters in CSCT; 14 Digital Pen and Paper Technology as a Means of Classroom Administration Relief; 15 A Conceptual Model for a Network-Based Assessment Security System. 16 Incorrect Weighting of Absolute Performance in Self-Assessment
527	Druckausg.ISBN: 978-904-813-176-1
540a	ISBN 978-90-481-3177-8
700	\|UNF
700	\|UYQE
700	\|COM021030
700	\|*68-06
700	\|68T05
700	\|68T10
700	\|62-06
700	\|62-07
700	\|00A72
700b	\|006.312
700b	\|006.31
700c	\|QA76.9.D343
750	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.
012	32701959X
081	Amouzegar, Mahyar A.: Advances in Machine Learning and Data Analysis
100	Springer E-Book
125a	Elektronischer Volltext - Campuslizenz
655e	$uhttp://dx.doi.org/10.1007/978-90-481-3177-8