In this paper, an efficient approach of combining additive expression tree model (AET) with hybrid evolutionary method is proposed to identify nonlinear systems. As linear variant of additive tree model, additive expression tree model is proposed to encode the mathematical formulations. For finding the optimal structure and parameters of systems, a hybrid evolutionary method integrating a new s...

Digital signal processing techniques are often used for measurement of small time shifts between EEG signals. In our work we tested properties of linear cross-correlation and phase/coherence method. The last mentioned method was used in two versions. The first version used fast Fourier transform (FFT) algorithm and the second was based on autoregressive modeling with fixed or adaptive model ord...

We describe a multiplicative normal form for rational functions which exhibits the shift structure of the factors, and investigate its properties. On the basis of this form we propose an algorithm which, given a rational function R, extracts a rational part F from the product of consecutive values of R: ∏n−1 k=n0 R(k) = F (n) ∏n−1 k=n0 V (k) where the numerator and denominator of the rational f...

This preliminary study investigates whether, and to what extent, conceptual combination is conveyed by vision. Working with noun-noun compounds we show that, for some cases, the composed visual vector built with a simple additive model is effective in approximating the visual vector representing the complex concept.

in order to estimate the genetic parameters and comparison legendre polynomials for production traits of iranian holstein dairy cattle test-day records of first lactation cows for milk yield, fat yield, protein yield, fat percentage and protein percentage traits were used. these records collected from 2006 to 2010, by the animal breeding center of iran. the genetic parameters were estimated usi...

The modularity is the best known and widely used quality function for community detection in graphs. We investigate approximability of maximization problem some related problems. first design a polynomial-time 0.4209-additive approximation algorithm problem, which improves current additive error 0.4672. Our theoretical analysis also demonstrates that proposed obtains nearly-optimal solution any...

Résumé : L’utilisation de l’intégrale de Choquet en Aide Multicritère à la Décision (AMCD) nécessite l’identification de la capacité qui lui est associée. Nous proposons ici un algorithme de détermination d’une capacité pour l’intégrale de Choquet 2-additive à partir d’une information ordinale fournie par le décideur. Mots-clés : AMCD, intégrale de Choquet, capacité 2-additive. Abstract: The us...

Bayesian optimization has proven invaluable for black-box optimization of expensive functions. Its main limitation is its exponential complexity with respect to the dimensionality of the search space using typical kernels. Luckily, many objective functions can be decomposed into additive sub-problems, which can be optimized independently. We investigate how to automatically discover such (typic...

A solution to the problem of speech recognition with signals corrupted by additive noise and distorted by low-bit rate coders is presented in this paper. The additive noise and the coding distortion are cancelled according to the following scheme: firstly, the pdf of the clean coded-decoced speech is estimated with an additive noise model; second, the pdf of the clean uncoded signal is also est...

In classification ratemaking, the multiplicative and additive models derived by actuaries are based on two common methods; minimum bias and maximum likelihood. These models are already considered as established and standard, particularly in automobile and general liability insurance. This paper aims to identify the relationship between both methods by rewriting the equations of both minimum bia...