We investigate on-line on-board evolution of robot controllers based on the so-called hybrid approach (island-based). Inherently to this approach each robot hosts a population (island) of evolving controllers and exch...
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Automatic Repeat Request (ARQ) protocols are a very important functionality in computer networks, which steer information transmission between network devices. Its knowledge is essential for students in computer Scien...
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This paper presents a motion estimation processor based on a dual-core architecture. Both cores are based on bit-serial adder trees. Memory structures are also described. This architecture is bit-precision reconfigura...
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There is a need to facilitate access to the required information in the web and adapting it to the users' preferences and requirements. This paper presents a system that, based on a collaborative filtering approac...
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Websites are important tools for tourism destinations. The adaptation of the websites to the users' preferences and requirements will turn the websites into more effective tools. Using machine learning techniques ...
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During the last decades, the information in the web has increased drastically but larger quantities of data do not provide perse added value for web visitors;there is a need for more efficient access to the required i...
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ISBN:
(纸本)9789898565143
During the last decades, the information in the web has increased drastically but larger quantities of data do not provide perse added value for web visitors;there is a need for more efficient access to the required information and adaptation to user preferences or needs. The use of machine learning techniques to build user profiles allows to take into account users' real preferences. We present in this work a preliminary system, based on the collaborative filtering approach, to identify and generate interesting links for the users while they are navigating. The system uses only web navigation logs stored in any web server (according to the Common Log Format) and extracts information from them combining unsupervised and supervised classification techniques and frequent pattern mining techniques. It also includes a generalization procedure in the data preprocessing phase and in this work we analyze its effect on the final performance of the whole system. We also analyze the effect of the cold start (0 day problem) in the proposed system. The experiments show that the proposed generalization option improves the results of the designed system, which performs efficiently w.r.t. a web-accessible database and is even able to deal with the cold start problem.
This paper presents a way to improve the computation efficiency of exemplar-based inpainting approach in [4]. Note that the inpainting approach in [4] has computation redundancy in searching optimal patches in source ...
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