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Download Adaptive and Intelligent Systems: Third International by Abdelhamid Bouchachia (eds.) PDF

By Abdelhamid Bouchachia (eds.)

This publication constitutes the court cases of the foreign convention on Adaptive and clever platforms, ICAIS 2014, held in Bournemouth, united kingdom, in September 2014. the nineteen complete papers integrated in those lawsuits including the abstracts of four invited talks, have been rigorously reviewed and chosen from 32 submissions. The contributions are geared up lower than the next topical sections: advances in characteristic choice; clustering and type; adaptive optimization; advances in time sequence analysis.

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Hence, we propose the following patch-translation robust distance, denoted BD2: p ), dtr (GN , HN ) = min d(GN , HN p∈[1,P ] (3) where the superscript p stands for the translation of the first patch of GN source image onto the pth patch of HN source image, spatially warping around the other patches. 1 Results We propose to assess the performance of the HMMDM classifier on proportional data comparing it to HMMGM and NN classifiers. To the best of our knowledge, this work represents its first use on real-world data.

RD ), and β = (β1 ,. . ,βD ) denote the distribution mean, left standard deviation, right standard deviation, and the shape parameter for the D-dimensional AGGD, respectively. The parameter β controls the shape of the probability density function (pdf). The larger the value, the flatter the pdf; and the smaller the value, the more picked the pdf. This means that β determines the decay rate of the density function. The AGGD is chosen to be able to fit, in analytically simple and realistic way, symmetric or non-symmetric data by the combination of the left and right variances.

On the other hand, the lower part shows a reasonably good prediction obtained by recurrent neural network (MSE approximately equal to 3). Thus, according to the evaluation on the test data, one would chose 16 features and only 7 features as the final number of inputs for feed-forward network or recurrent network, respectively. Third, the final models were validated on separate validation set 2007/2008 and 2008/2009. This error can be found in the lower-left part of Figure 3. One can see that the comparison results for the two methods are the same for both the testing and validation data.

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