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Vector machines

Time–Adaptive Support Vector Machines

Time–Adaptive Support Vector Machines

... change, but they are all fitted in a global way. In our method, the interval of validity of each clas- sifier can be as small as needed (even only one point), but the classifiers are trained to minimize a global measure ...

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Support Vector Machines for Nonlinear Kernel ARMA System Identification

Support Vector Machines for Nonlinear Kernel ARMA System Identification

... Support vector machines (SVM) were originally conceived for pat- tern recognition and classification tasks [3], and support vector regres- sion (SVR) was subsequently proposed as the SVM ...

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Support vector machines for explaining physiological stress response in Wood mice (Apodemus sylvaticus)

Support vector machines for explaining physiological stress response in Wood mice (Apodemus sylvaticus)

... Physiological stress response is a crucial adaptive mechanism for prey species survival. This paper aims to identify the main environmental and/or individual factors better explaining the stress response in Wood mice, ...

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Bootstrap Feature Selection in Support Vector Machines for Ventricular Fibrillation Detection

Bootstrap Feature Selection in Support Vector Machines for Ventricular Fibrillation Detection

... Support Vector Machines (SVM) are efficient learning schemes [1], which have been paid special attention during the last years. The SVM classification algo- rithm has shown an excellent performance in a number ...

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Robust Gamma-filter Using Support Vector Machines

Robust Gamma-filter Using Support Vector Machines

... Support vector machines (SVM) are state-of-the-art tools for solving linear and non-linear machine learning problems [12]. In addition, several signal-processing problems have been specifically formulated ...

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Nonuniform Interpolation of Noisy Signals Using Support Vector Machines

Nonuniform Interpolation of Noisy Signals Using Support Vector Machines

... Abstract—The problem of signal interpolation has been inten- sively studied in the Information Theory literature, in conditions such as unlimited band, nonuniform sampling, and presence of noise. During the last decade, ...

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Support Vector Machines Framework for Linear Signal Processing

Support Vector Machines Framework for Linear Signal Processing

... This paper presents a support vector machines (SVM) framework to deal with linear signal processing (LSP) problems. The approach relies on three basic steps for model building: (1) identifying the suitable ...

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Heart Rate Turbulence Denoising Using Support Vector Machines

Heart Rate Turbulence Denoising Using Support Vector Machines

... Abstract—Heart Rate Turbulence (HRT) is the transient ac- celeration and subsequent deceleration of the heart rate after a premature ventricular complex (PVC), and it has been shown to be a strong risk stratification ...

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TítuloTexture classification of proteins using support vector machines and bio inspired metaheuristics

TítuloTexture classification of proteins using support vector machines and bio inspired metaheuristics

... Abstract. In this paper, a novel classification method of two-dimensional poly- acrylamide gel electrophoresis images is presented. Such a method uses textural features obtained by means of a feature selection process ...

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Sparse Deconvolution Using Support Vector Machines

Sparse Deconvolution Using Support Vector Machines

... A fully practical algorithm for SD using SVM principles, which we call the AKSM algorithm, has been introduced and evaluated. It works with the convolution of the observed sequence with the time-reversed impulse ...

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ANALYSIS OF THE LAND USE AND COVER CHANGES IN THE METROPOLITAN AREA OF TEPIC-XALISCO (1973–2015) THROUGH LANDSAT IMAGES

ANALYSIS OF THE LAND USE AND COVER CHANGES IN THE METROPOLITAN AREA OF TEPIC-XALISCO (1973–2015) THROUGH LANDSAT IMAGES

... Support Vector Machines (SVMs) and Artificial Neural Networks ...Support Vector Machines; Artificial Neural Networks; significant transitions; urban growth; Nayarit ...

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On the Economic Significance of Stock Market Prediction and the No Free Lunch Theorem

On the Economic Significance of Stock Market Prediction and the No Free Lunch Theorem

... Support Vector Machine strategy (SVM), the Efficient Market strategy (EMS), the Buy and Hold strategy (B&H) and the Optimal strategy ...Support Vector Machines as possibly the most fashionable ...

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ApendiceMatematico pdf

ApendiceMatematico pdf

... Al poder descomponer cualquier vector en sus componentes rectangulares, que son escalares, posibilita el operar de una manera más cómoda, no gráfica, sino analítica. Es fácil comprobar que ahora podremos operar de ...

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Vector Calculus

Vector Calculus

... If F is irrotational then F. dx is exact. The result ‘(a) ⇒ (e)’ proves, as promised earlier, that condition (3.26b), i.e. ∇ × F = 0, is a sufficient condition for F. dx to be an exact differential in 3D (we proved that ...

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Guia Fisica  No1

CARACTERÍSTICAS DE UN VECTOR

... 5).- Propiedad de transmisibilidad del punto de aplicación: El efecto externo de un vector deslizante no se modifica si es trasladado en su misma dirección, es decir, sobre su propia línea de acción. Por ejemplo, ...

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vectores ( 5 ) pdf

Representación de un vector

... Para dos vectores concurrentes tales como a y b, se puede obtener el vector suma (equivalente a la resultante), a través de la regla del paralelogramo. El módulo de la resultante se obtiene aplicando el teorema o ...

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An absorbing Markov chain model for production systems with rework and scrapping

An absorbing Markov chain model for production systems with rework and scrapping

... of machines, because the available time for a machine is underestimated as follows: to meet a given demand per unit time (day), more than one machine may be needed at a given ...all machines in the ...

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Using with other machines

Using with other machines

... It also expects machine bed to have registration holes for fixing PCB laminate to be machined. Two sizes of laminate are currently supported: 100×75mm and 100×160mm. Registration holes are expected to be located 5mm ...

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TítuloHybrid model based on genetic algorithms and SVM applied to variable selection within fruit juice classification

TítuloHybrid model based on genetic algorithms and SVM applied to variable selection within fruit juice classification

... Today, there are other prediction-selection techniques that allow making up for the shortcomings caused by the use of ANNs. This paper is aimed at emphasizing a method recently developed within the field of machine ...

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E-Machines

E-Machines

... En esta secci´on se discute la factibilidad de utilizar las E-machines como soporte te´orico para estudiar y verificar evoluci´on de dise˜ nos; naturalmente, la noci´on de dise˜ no y mas a´ un la de evoluci´on de ...

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