Titlebook: Optimization and Decision Science: Methodologies and Applications; ODS, Sorrento, Italy Antonio Sforza,Claudio Sterle Conference proceeding

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彎曲道理

Hassan Mokalled,Daniele Debertol,Ermete Meda,Concetta Pragliolalen, die es im Innovationsproze? mit dem Ziel der Wissensentwicklung zu integrieren gilt. Damit die einzelnen Wissensquellen zielorientiert miteinander kombiniert werden k?nnen, sind Integrationsmodelle notwendig. Diese werden auf der konzeptionellen Ebene mit unterschiedlichem Integrationsgrad und

擦試不掉

Enrico G. Caldarola,Valerio Di Pinto,Antonio M. Rinaldilen, die es im Innovationsproze? mit dem Ziel der Wissensentwicklung zu integrieren gilt. Damit die einzelnen Wissensquellen zielorientiert miteinander kombiniert werden k?nnen, sind Integrationsmodelle notwendig. Diese werden auf der konzeptionellen Ebene mit unterschiedlichem Integrationsgrad und

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罵人有污點

Outperforming Image Segmentation by Exploiting Approximate K-Means Algorithmsdeed, by relaxing the need for a fully precise outcome, Approximate Computing techniques allow to gain performance parameters, such as computational time or area of integrated circuits, by executing inexact operations. In this work, we propose an approximate version of the K-means algorithm to be us

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Approximate Decision Tree-Based Multiple Classifier Systemsfiers outcomes is able to improve classification accuracy, with respect to a single classifier; on the other hand, implementing the prediction algorithm by means of an integrated circuit enables classifier systems with higher throughput and better latency compared with a pure software architecture.

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Look-Up Tables for Efficient Non-Linear Parameters Estimationt methodologies, many of which strongly rely on curve fitting (both linear and non-linear). One of the most common approach to solve this kind of problems is the use of least squares method, usually by iterative procedures that can cause slowness when applied to problems that require to repeat the f

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