Titlebook: Innovation Policy in a Knowledge-Based Economy; Theory and Practice Patrick Llerena,Mireille Matt Book 2005 Springer-Verlag Berlin Heidelbe

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Laurent Bach,Mireille Mattors substantiate the proposed approach and describe all the steps of algorithmic implementation of the proposed I-PNN. Modeling of I-PNN operation using a well-known unbalanced medical dataset was performed. The optimal parameters of I-PNN operation are selected. An experimental increase in the accu

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Mireille Matt,Sandrine Wolffan existing rule extraction method, and the results show better performance of PBRE. We also apply PBRE to extract rules from a smart home service represented by an NRL (Neural Network-based Reinforcement Learning). The results show that PBRE can help the NRL-simulated service to make understandable

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Jakob Edler,Frieder Meyer-Krahmerings between scans of similar speeds to save the bandwidth utilization. Meanwhile, it compensates the faster scans by executing random I/O requests separately, in order to reduce single scan latency. By utilizing techniques called group splitting and I/O scheduling, . aims at achieving good performa

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Chantale Mailhot,Véronique Schaefferesponded them to our texture features by adopting the canonical correlation statistics. Based on this correspondence, we developed a contrast based subjective texture image retrieval (CBSTIR) system. Our system can retrieve images which give a similar impression, and also predict images by some desc

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From Economic Foundations to S&T Policy Tools: a Comparative Analysis of the Dominant Paradigms

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Systems Failure and the Case for Innovation Policy

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Technology Policy and A-Synchronic Technologies: The Case of German High-Speed Trains

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A Study of Military Innovation Diffusion Based on Two Case Studies