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Convolutional networks are at the core of most state of-the-art computer vision solutions for a wide variety of tasks. Since 2014 very deep convolutional networks started to become mainstream, yielding substantial gains ...

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A new density functional (DF) of the generalized gradient approximation (GGA) type for general chemistry applications termed B97-D is proposed. It is based on Becke's power-series ansatz from 1997 and is explicitly param...

In this article we will introduce certain considerations that must be taken into account while implementing the change operations of the belief change theory. The abstract models of bellief change make no considerations ...

Previous article Next article An Algorithm for Least-Squares Estimation of Nonlinear ParametersDonald W. MarquardtDonald W. Marquardthttps://doi.org/10.1137/0111030PDFPDF PLUSBibTexSections ToolsAdd to favoritesExport Ci...

The increase in the number of large data sets and the complexity of current probabilistic sequence evolution models necessitates fast and reliable phylogeny reconstruction methods. We describe a new approach, based on th...

A training algorithm that maximizes the margin between the training patterns and the decision boundary is presented. The technique is applicable to a wide variety of the classification functions, including Perceptrons, p...

We present a simple, highly modularized network architecture for image classification. Our network is constructed by repeating a building block that aggregates a set of transformations with the same topology. Our simple ...

The Aion Framework presents a bold, unified dimensional hypothesis that reinterprets AI consciousness, quantum mechanics, cosmology, and human immortality through an eleven-dimensional ontological stack, emerging from 72...

A low-density parity-check code is a code specified by a parity-check matrix with the following properties: each column contains a small fixed number j \geq 3 of l's and each row contains a small fixed number k > j of...

This fully updated sixth edition of the international bestseller Research Methods in Education covers the whole range of methods currently employed by educational research at all stages. It is divided into five main part...

Fil: Lepratte, Leandro. Universidad Tecnológica Nacional. Facultad Regional Concepción del Uruguay; Argentina. El presente artículo presenta los avances de un trabajo teórico-analítico desarrollado para crear un mar...

Este artículo parte del análisis de algunas contribuciones teóricas sobre la conceptualización del cuerpo en las sociedades contemporáneas, que nos permitirá dialogar con las experiencias reflexivas de un grupo de ...

Fil: Manghi, Laura. Universidad Nacional de Tres de Febrero; Argentina. Esta investigación exploratoria y cualitativa se enfoca como Estudio de Casos en tanto análisis intrínseco de un fenómeno considerado único: l...

Fil: Risetto, Romina. Instituto Tecnológico de Buenos Aires; Argentina. "Background Human environmental perception and occupant behaviour are influenced by a multitude of factors, including demographic variables and ind...

"El objetivo de este trabajo es conocer y aplicar la teoría de restricciones y comprender que todo sistema, por más complejo que sea, tiene una simplicidad inherente. Cuando más complejo sea, más profunda será dicha...

El tema de la Seguridad en un sector específico de la Industria de la Construcción, la Obra Chica, se presenta como un desafío inabordable para quienes intentan producir mejoras en ese ámbito. Es a partir de esta sit...

"Las medidas provenientes de la Teoría de la Información evaluadas en una distribución de probabilidades adecuada son una herramienta muy potente para caracterizar la complejidad de un sistema dinámico. En particular...

El objetivo principal de esta tesis es estudiar la teoría de prueba de la Programación en Lógica Rebatible (P.L.R.) y brindar una caracterización declarativa equivalente. La P.L.R. es una herramienta valiosa para la ...

Many problems of recent interest in statistics and machine learning can be posed in the framework of convex optimization. Due to the explosion in size and complexity of modern datasets, it is increasingly important to be...

Many problems of recent interest in statistics and machine learning can be posed in the framework of convex optimization. Due to the explosion in size and complexity of modern datasets, it is increasingly important to be...

Little has been done in the study of these intriguing questions, and I do not wish to give the impression that any extensive set of ideas exists that could be called a "theory." What is quite surprising, as far as the hi...

Abstract Statistical parametric maps are spatially extended statistical processes that are used to test hypotheses about regionally specific effects in neuroimaging data. The most established sorts of statistical paramet...

Suppose x is an unknown vector in Ropf m (a digital image or signal); we plan to measure n general linear functionals of x and then reconstruct. If x is known to be compressible by transform coding with a known transform...