Kernel equalizers

Part 1 of ebook "Certified programming with dependent types" provides readers with contents including: basic programming and proving; programming with dependent types; inductive predicates; infinite data and proofs; subset types and variations; general recursion; more dependent types; dependent data structures; reasoning about equality proofs;...

251p tieulangtran 28-09-2023 4 1   Download

Support vector machines (SVM) are a powerful tool to analyze data with a number of predictors approximately equal or larger than the number of observations. However, originally, application of SVM to analyze biomedical data was limited because SVM was not designed to evaluate importance of predictor variables.

18p vicoachella2711 27-10-2020 16 0   Download

In this paper, we propose the use of weighted categorical kernel functions to predict drug resistance from virus sequence data. These kernel functions are very simple to implement and are able to take into account HIV data particularities, such as allele mixtures, and to weigh the different importance of each protein residue, as it is known that not all positions contribute equally to the resistance.

13p vicolorado2711 23-10-2020 11 0   Download

In previous articles, we proposed single kernel and multikernel equalizers for nonlinear satellite channels with significant improvements in performance. The results demonstrated that the advantages of kernel equalizers over radius basis function neural equalizers are the ability to achieve overall convergence, which results in smaller output errors.

5p vishizuka2711 07-04-2020 17 3   Download

The combination of the kernel trick and the least-mean-square (LMS) algorithm provides an interesting sample by sample update for an adaptive equalizer in reproducing Kernel Hilbert Spaces (RKHS), which is named here the KLMS. This paper shows that in the finite training data case, the KLMS algorithm is well-posed in RKHS without the addition of an extra regularization term to penalize solution norms.

4p sabiendo 06-02-2020 12 0   Download

This paper proposes a new approach to combine the convex of two single-kernel adaptive equalizers with different convergent rates and different efficiencies in order to get the best kernel equalizer. This is the Gaussian multikernel equalizer.

5p vititan2711 13-08-2019 7 0   Download

We generate a large number of predictive models by applying linear kernel SVR to historical currency rates’ bid data for three currency pairs obtained from high-frequency trading. The bid tick data are converted into equally spaced (1 min) data. Differences of price between the previous successive timeframes are used as features to predict the direction of movement of the price in the next timeframe.

10p vithanos2711 09-08-2019 24 0   Download

An inequality is proved for a quadratic functional with the logarithmic kernel. The best constant of this inequality and the corresponding function for which the equality holds are found precisely.

4p thienthanquydu 23-10-2018 27 1   Download