Se presenta la evaluación de la predicción de múltiples puntos de series de tiempo, mediante un corrimiento de ventana para Support Vector Machines (SVM) con dos funciones de kernel distintas (lineal y con base radial). Para la evaluación se utilizó un conjunto de treinta series de diferente origen y comportamiento dinámico. Se encuentra que la SVM posee una buena capacidad para ajustarse a las...

We show that Correspondence Analysis (CA) is equivalent to defining the Gini-index with appropriately scaled one-hot encoding. Using this relation, we introduce nonlinear kernel extension of CA. The extended CA gives well-known analysis for categorical data (CD) and natural language processing by specializing kernels. For example, our formulation can give G-test, skip-gram with negative-samplin...

Introduction: A generalized autocalibrating partially parallel acquisition (GRAPPA) method for radial k-space sampling is presented that calculates kernel weights without acquiring or synthesizing calibration data [1-3] and without regridding to a Cartesian grid [4]. Methods: In the first step, GRAPPA kernels are calculated for datapoints k at radius r and angle θ. Neighboring datapoints ki fro...

The effect of air turbulence on the geometric collision kernel of cloud droplets can be predicted if the effects of air turbulence on two kinematic pair statistics can be modeled. The first is the average radial relative velocity and the second is the radial distribution function (RDF). A survey of the literature shows that no theory is available for predicting the radial relative velocity of f...

This paper investigates the problem of image segmentation using superpixels. We propose two approaches to enhance the discriminative ability of the superpixel’s covariance descriptors. In the first one, we employ the Log-Euclidean distance as the metric on the covariance manifolds, and then use the RBF kernel to measure the similarities between covariance descriptors. The second method is focus...

background:  elbow surgery is shared by several subspecialties. we were curious about the most common elbow surgeries and their corresponding diagnoses in the united states.   methods:  we used the national hospital discharge survey (nhds) and the national survey of ambulatory surgery (nsas) data gathered in 2006-databases that together provide an estimate of all inpatient and ambulatory surgic...

Immature neurons migrate tangentially within the rostral migratory stream (RMS) to the adult olfactory bulb (OB), then radially to their final positions as granule and periglomerular neurons; the controls over this transition are not well understood. Using adult transgenic mice with the human GFAP promoter driving expression of enhanced GFP, we identified a population of radial glia-like cells ...

In this paper, we introduce a new kernel function called polynomial radial basis function (PRBF) that could improve the classification accuracy of support vector machines (SVMs). The proposed kernel function combines both Gauss (RBF) and Polynomial (POLY) kernels and is stated in general form. It is shown that the proposed kernel converges faster than the Gauss and Polynomial kernels. The accur...

We study the problem of finding an optimal kernel from a prescribed convex set of kernels K for learning a real-valued function by regularization. We establish for a wide variety of regularization functionals that this leads to a convex optimization problem and, for square loss regularization, we characterize the solution of this problem. We show that, although K may be an uncountable set, the ...

Choosing the scale or shape parameter of radial basis functions (RBFs) is a well-documented but still an open problem in kernel-based methods. It common to tune it according applications, and plays crucial role both for accuracy stability method. In this paper, we first devise direct relation between RBFs their curvature at each point. This leads characterizing scalable unscalable ones. We prov...