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Titlebook: Hybrid Artificial Intelligent Systems; 6th International Co Emilio Corchado,Marek Kurzyński,Michał Woźniak Conference proceedings 2011 Spri

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楼主: broach
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Dariusz Brzeziński,Jerzy Stefanowski Technologien wandeln. Obwohl die soziomaterielle Bedingtheit gestalterischer Praktiken zunehmend diskutiert und untersucht wird, ist noch weitgehend unklar, wie sich die Materialität und Widerständigkeit digitaler Technologien konzeptionell fassen lässt. In Abgrenzung zu analytischen Ansätzen, die
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Outlier Analysis for Plastic Card Fraud Detection a Hybridized and Multi-Objective Approachraud detection system based on the outlier analysis technology. Previous research has established that the use of outlier analysis is one of the best techniques for the detection of fraud in general. However, to establish patterns to identify anomalies, these patterns are learned by the fraudsters a
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Multiple Local Searches to Balance Intensification and Diversification in a Memetic Algorithm for thoblem is a memetic algorithm, which uses the traditional approach of hybridizing a genetic algorithm with a single local search; on the contrary, in this paper we present a memetic solution hybridized with multiple local searches through all the memetic process. Experimental results show that using
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Improving Classification Performance of BCIs by Using Stationary Common Spatial Patterns and Unsupercation accuracy of Brain-Computer Interface (BCI) systems. In this paper we investigate three methods to alleviate this: (1) Regularization of Common Spatial Patterns (CSP) towards stationary subspaces in order to reduce the influence of artefacts. (2) Unsupervised adaptation of the classifier bias
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A Simple Proactive Provider Participation Technique in a Mesh-Based Peer-to-Peer Streaming Serviceers demand high Quality of Experience and network traffic when they watch their streaming contents. On the other, Internet Service Providers (ISPs) support their business with the capacity of their international links. A recent strategy considered in order to meet both requirements is the Proactive
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Modelling Non-stationarities in EEG Data with Robust Principal Component Analysisuroscientific signals to bring new insights of brain functioning. A common neuroscientific signal to study the behaviour of the brain is electro-encephalography (EEG) because it is little intrusive, relatively cheap and easy to acquire. However, this signal is known to be highly non-stationary. In t
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An Improved Heuristic for the Bandwidth Minimization Based on Genetic Programmingsists in rearranging the rows and columns of a sparse matrix such that the non-zero elements are in a band as close as possible to the main diagonal. We evaluated our heuristic on a set of 25 benchmark instances from the literature and compared with state-of-the-art algorithms. The obtained results
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