Titlebook: Learning and Intelligent Optimization; 8th International Co Panos M. Pardalos,Mauricio G.C. Resende,Jose L. Wa Conference proceedings 2014

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Valery A. Kalygin,Alexander P. Koldanov,Panos M. Pardalosen always correct and they have been considered unstable in terms of large-scale gene expression profiling. Therefore we propose improved feature selection technique of well-known support vector machine recursive feature elimination (SVM-RFE) with T-Statistics based on Intensity-dependent normalizat

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Pablo San Segundo,Alvaro Lopez,Mikhail BatsynHowever, with our proposed method, we able to count based on correctly classified of the vehicle with the average accuracy of 90.5%. We tested our method using a frontal view of vehicle from the self-obtained database taken using mounted-camera at the selected federal road.

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Dimo Brockhoff,Youssef Hamadi,Souhila Kacitered by each speaker. The database is divided into training and testing sets and processed in manners suitable for the validation techniques under investigation. The performance is evaluated using a range of different signal-to-noise ratio values using a variety of noise types obtained from the NOI

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Günter Rudolph,Oliver Schütze,Christian Grimme,Heike Trautmann and the rabbit character can be automatically generated from the animation story of ‘Rabbit and Tortoise’ made by flash tool. Using the TSL color model, the face shape and the eyes, eyebrow, nose, mouth, and ears are visualised in a 2D. In the digital cultural content, the character is automaticall

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Leonardo C. T. Bezerra,Manuel López-Ibáñez,Thomas Stützleaffect the organization outcomes in terms of successful digitalization and sustainable development.These factors are particularly important for the large-scale applications, typically considered very complex in managerial and technological aspects, and, therefore, specifically addressed by the disci

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Bernd Bischl,Simon Wessing,Nadja Bauer,Klaus Friedrichs,Claus Weihsaffect the organization outcomes in terms of successful digitalization and sustainable development.These factors are particularly important for the large-scale applications, typically considered very complex in managerial and technological aspects, and, therefore, specifically addressed by the disci

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David Meignan,Silvia Schwarze,Stefan Voßagement, and knowledge engineering, to name a few. The key ingredients of this crisis management framework include smart data modeling, trade-off optimizing, agile product controlling, and knowledge transferring..978-981-99-8651-4978-981-99-8649-1Series ISSN 2190-3018 Series E-ISSN 2190-3026

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Minami Miyakawa,Keiki Takadama,Hiroyuki Sato Technology.        Manufacturing Technology and Services.        Management Information Systems and Services.        Electronic Commerce, Business and Management.        Vehicular Systems and Communications.  978-94-017-8246-3978-94-007-2598-0Series ISSN 1876-1100 Series E-ISSN 1876-1119