Machine Learning and Systems Engineering (Lecture Notes in Electrical Engineering, 68, Band 68) [Hardcover] Ao, Sio-Iong; Rieger, Burghard B. and Amouzegar, Mahyar von Ao, Sio-Iong; Rieger, Burghard B.; Amouzegar, Mahyar: Very Good Hardcover (2010)

Beschreibung

Unread, some shelfwear. Immediately dispatched from Germany.

Bestandsnummer des Verk�ufers CEA-2406C-VILNIUS-06-2000

Verk�ufer kontaktieren

Diesen Artikel melden

Bibliografische Details

Titel: Machine Learning and Systems Engineering (Lecture Notes in Electrical Engineering, 68, Band 68) [Hardcover] Ao, Sio-Iong; Rieger, Burghard B. and Amouzegar, Mahyar
Verlag: Springer
Ver�ffentlichungsdatum: 2010
Sprache: Englisch
ISBN-10: 9048194180
ISBN-13: 9789048194186
Bindung: Hardcover
Zustand: Very Good

�ber diesen Titel

Inhaltsangabe

A large international conference on Advances in Machine Learning and Systems Engineering was held in UC Berkeley, California, USA, October 20-22, 2009, under the auspices of the World Congress on Engineering and Computer Science (WCECS 2009). Machine Learning and Systems Engineering contains forty-six 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. Machine Learning and Systems Engineering offers the state of the art of tremendous advances in machine learning and systems engineering and also serves as an excellent reference text for researchers and graduate students, working on machine learning and systems engineering.

Von der hinteren Coverseite

A large international conference on Advances in Machine Learning and Systems Engineering was held in UC Berkeley, California, USA, October 20-22, 2009, under the auspices of the World Congress on Engineering and Computer Science (WCECS 2009). Machine Learning and Systems Engineering contains forty-six 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. Machine Learning and Systems Engineering offers the state of the art of tremendous advances in machine learning and systems engineering and also serves as an excellent reference text for researchers and graduate students, working on machine learning and systems engineering.

��ber diesen Titel� kann sich auf eine andere Ausgabe dieses Titels beziehen.