Titlebook: Advances in Soft Computing; 9th Mexican Internat Grigori Sidorov,Arturo Hernández Aguirre,Carlos Al Conference proceedings 2010 Springer Be

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Megha Quamara,Christina Kolb,Brahim Hamidnerating all typical testors of a training matrix is computationally expensive; all reported algorithms have exponential complexity, depending mainly on the number of columns in the training matrix. For this reason, different approaches such as sequential and parallel algorithms, genetic algorithms

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Lecture Notes in Computer Sciencesks. A copula is a distribution function with the implicit capacity to model non linear dependencies via concordance measures, such as Kendall’s .. Hence, this work studies the performance of a simple probabilistic classifier based on the Gaussian copula function. Without additional preprocessing of

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https://doi.org/10.1007/978-3-031-40953-0 possible to use all type of feature extraction and modeling techniques to design a single classifier for speaker identification tasks because it will make the system complex. So instead of exploring more techniques or making the system complex it is more reasonable to develop the classifier by usin

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Fuzzy Logic in Computer Scienceuracy via an appropriate choices of features which can be chosen automatically. The importance of this work is that while one-class is often the appropriate classification setting for identifying cognitive brain functions, most work in the literature has focused on two-class methods..Our work extend

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Michael Benedikt,Pierre Senellartd weighting scheme on them. As an application example, we use a set of digital images that represent the various symbols contained in the dactylogical alphabet. First we introduce the reader to the many pre-processing and segmentation techniques applied to the set of images. Later on, we describe th

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Update Languages vs. Query Languagesnts and specific combinations of words within their language they decide to follow. Although capturing this style has proven to be very difficult, some advances have been achieved. Here, we present a novel system that is trained with texts from the same author, and is able to unveil some of its feat

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