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Advances in machine learning and data analysis

Collection : Lecture notes in electrical engineering ; . 48 Publié par : Springer Science+Business Media. (Dordrecht | New York) Détails physiques : viii, 239 pages illustrations 25 cm. ISBN :9789048131761 (hbk.); 9048131766 (hbk.). Année : 2010
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Contains sixteen revised and extended articles from an international conference on Advances in Machine Learning and Data Analysis, held in Berkeley, Calif., Oct. 22-24, 2008.

Includes bibliographical references.

2D/3D image data analysis for object tracking and classification / Seyed Eghbal Ghobadi ... [and others] -- Robot competence development by constructive learning / Q. Meng, M.H. Lee, and C.J. Hinde -- Using digital watermarking for securing next generation media broadcasts / Dominik Birk and Seán Gaines -- A reduced-dimension processor model / Azam Beg -- Hybrid machine learning model for continuous microarray time series / Sio-Iong Ao -- An asymptotic method to a financial optimization problem / Dejun Xie, David Edwards, and Giberto Schleiniger -- Analytical design of robust multi-loop PI controller for multi-time delay processes / Truong Nguyen Vu and Moonyong Lee -- Automatic and semi-automatic methods for the detection of quasars in sky surveys / Sio-Iong Ao -- Improving low-cost sail simulator results by artificial neural networks models / V. Díaz Casás ... [and others] -- Rough set approaches to unsupervised neural network based pattern classifier / Ashwin Kothari and Avinash Keskar -- A new robust combined method for auto exposure and auto white-balance / Quoc Kien Vuong, Se-Hwan Yun, and Suki Kim -- A mathematical analysis around capacitive characteristics of the current of CSCT : optimum utilization of capacitors of harmonic filters / Mohammad Golkhah and Mohammad Tavakoli Bina -- Harmonic analysis and optimum allocation of filters in CSCT / Mohammad Golkhah and Mohammad Tavakoli Bina -- Digital pen and paper technology as a means of classroom administration relief / Jan Broer, Tim Wendisch, and Nina Willms -- A conceptual model for a network-based assessment security system / Nathan Percival, Jennifer Percival, and Clemens Martin -- Incorrect weighting of absolute performance in self-assessment / Scott A. Jeffrey and Brian Cozzarin.

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