Esther Vargas-Medina

Esther Vargas-Medina
Universidad La Salle México · Centro Transdiciplinario de Investigación, Desarrollo e Innovación (CeTIDi)

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17
Publications
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14
Citations

Publications

Publications (17)
Preprint
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Introducción En marzo de 2020 la OMS declaró a COVID-19 con calidad de pandemia, lo que demandó que todos los centros educativos, incluidos los de nivel superior, acataran las medidas de confinamiento y distanciamiento social que permitieran la contención de la propagación del virus y salvaguardar la salud de sus comunidades. Esta situación supuso...
Book
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Se describen el Proyecto Académico que constituye un Itinerario para la comunidad lasallista para hacer vivo el Modelo Educativo de la Universidad La Salle. La Universidad La Salle cuenta con más de cincuenta años de existencia y una larga tradición tricentenaria que le han permitido consolidar las bases pedagógicas de la formación integral de sus...
Article
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Impacto formativo del currículo transversal en estudiantes durante su primer año universitario, a partir de la aplicación un Examen Nacional Introducción La pregunta acerca de las competencias y capacidades que debe formar un centro educativo se ha convertido en uno de los ejes centrales del debate educativo mundial. Si bien, el término de competen...
Article
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Los valores de los estudiantes en su primer año universitario y el impacto en sus relaciones interpersonales y elecciones Introducción: El presente trabajo ha sido elaborado considerando la importancia del primer año dentro de la universidad y el papel crucial que éste juega tanto para la permanencia, y desempeño de la formación universitaria de lo...
Book
Full-text available
Describe los elementos que conforman el Modelo Pedagógico para la construcción del Modelo Educativo de la Universidad La Salle.
Article
Keywords: Genetic Algorithm, Bidimensional Genetic Algorithm, Tabu Search, Magic Squares Problem. Many multidimensional problems can be represented by graphs showing possible paths for feasible solutions. Optimal solution search is performed by a computational agent that navigates from node to node in the graph representing a problem. The related s...
Article
The behavior of the first layer of a weightless artificial neural network is analyzed in this paper. The way in which the neural network receives external information changes accordingly to different probability distribution functions that control data sampling from many different patterns. This paper describes the architecture of this system and s...
Conference Paper
Full-text available
P. Kanerva's (1988) SDM classic model has been modified using a random memory space, whose qualities in two dimensions allow a significant reduction in the memory requirements of the modified net. The memory is managed in a space sharing mode; we present techniques that allow this kind of memory management, and we show that the operation of this ki...
Article
1. ABSTRACT This paper describes the structure and behavior of a system, composed by a set of weightless artificial neural networks, which is capable of learning different images and then reconstructing an image according to the closest learned pattern. This paper presents a technique which considers Hamming distance for pattern learning and recons...
Conference Paper
Based on the Ramsey theorem, 3 different tests were implemented on the random memory space (RMS) for neural networks. This model, is based on a matrix of 1's and 0's in which the strings that represents different patterns of a Hamming-like net are going to be searched for. The experimental tests shows the power for classification and storage of man...
Conference Paper
A system composed of a weightless neural network (Aleksander's model) is described. This system performs 2D and 3D recognition of patterns which are drawn with five different gray tones or colors. The system is capable of recognizing from 2 to 15 different pattern classes. The authors describe the structure and behavior of this system during the le...
Article
The behavior of the first layer of a weightless artificial neural network is analyzed in this paper. The way in which the neural network receives external information changes according to different probability distribution functions that control data sampling from many different patterns. This paper describes the architecture of this system, and sh...
Article
The behavior of the first layer of a weightless artificial neural network is analyzed in this paper. The way in which the neural network receives external information changes according to different probability distribution functions that control data sampling from many different patterns. This paper describes the architecture of this system, and sh...
Article
The authors study the mathematical behavior of the hidden layer of a generalized delta rule type neural network (GDR) by analyzing the weights and thresholds in the network, when it learned and didn't learn, in a typical situation in neurocomputation. The GDR was used in a C language program. There are three representation hypotheses: (a) the local...
Article
Weightless Artificial Neural Networks are based on a technique that considers Hamming distance for pattern learning and recognition, instead of managing weights associated to each link between the nodes of the network. The way in which the neural network receives external information changes accordingly to different probability distribution functio...
Article
A system composed by a weightless neural network (Aleksanders model) is described in this paper. This system performs Bi and Tridimensional pattern recognition of patterns which are drawn with five different gray tones or colors. The system is capable to recognize from 2 to 15 different pattern classes. This paper describes the structure and behavi...

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