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Un algoritmo para el entrenamiento de máquinas de vector soporte para regresión
Un algoritmo para el entrenamiento de máquinas de vector soporte para regresión
(2009-02-19)
The aim of the present paper is twofold. Firstly an introduction to the ideas of Support Vector regression is given. then a new and simple algorithm, suggested by the work of Campbell y Cristianini in [16], is proposed ...
A genetic algorithm in a schedule problem with special constraints
Un Algoritmo Genético para un Problema de Horarios con Restricciones Especiales
(2011-07-08)
Ramírez (2001) introduced the generalized robust coloring problem (GRCP), this problem lets solve timetabling problems which considers constraints such as: two events can not be assigned at the same time and there must be ...
Submartingalas finitas, teoremas de convergencia y métodos no standard
(2012-03-29)
Se examinan dos teoremas clásicos de convergencia de submartingalas en tiempo discreto, los de convergencia casi segura y en L^1, usando los métodos del análisis no standard. Se realiza para ello un estudio previo sobre ...
Algoritmo e implementación del análisis factorial de correspondencias
Algoritmo e implementación del análisis factorial de correspondencias
(2009-02-18)
In this article, it is presented an algorithm in pseudo-code for the Factor Analysis of Correspondence. Some comments on the implementationn on C++ are also developed. Finally, the method is illustrated by an example.
Modeling genetic algorithms with interacting particle systems
Modeling genetic algorithms with interacting particle systems
(2009-02-19)
We present in this work a natural Interacting Particle System (IPS) approach formodeling and studying the asymptotic behavior of Genetic Algorithms (GAs). In thismodel, a population is seen as a distribution (or measure) ...
Introducción de factores de riesgo en los Métodos de Knox y Grimson para el Estudio de Conglomerados Espacio Temporales
Introducción de factores de riesgo en los Métodos de Knox y Grimson para el Estudio de Conglomerados Espacio Temporales
(2011-04-29)
There are not infallible disease clusters methods, so it is necessary to know exactly when their results are reliable. In this paper space data were simulated using two uniform distributions and time data, following the ...
Relations of k-th derivative of dirac delta in hypercone with ultrahyperbolic operator
Relations of k-th derivative of dirac delta in hypercone with ultrahyperbolic operator
(2009-02-18)
In this paper we prove that the generalized functions d (k) (P+) - d (k) (P), d (k) (P-)-d (k) (-P) and d 1 (k) (P)-d 2 (k) (P)d are concentrated in the vertex of the cone P=0 and we find their relationship with the ...
Árboles de clasificación para el análisis de gráficos de control multivariantes
Árboles de clasificación para el análisis de gráficos de control multivariantes
(2009-02-27)
In statistical quality control, one of the most widely used tools are the controlcharts. The main problem of the multivariate control charts lies in that they onlyindicate that a change in the process has happened, but ...
Shipment consolidation by terminals and vehicles
Shipment consolidation by terminals and vehicles
(2009-02-27)
This project designs and implements a new module in a logistics analysis tool called”Logistika” that was developed by some graduate students in ASU. Initially, Logistikaonly had available a “Plant location module”, but ...
Sobre el problema inverso de difusión
Sobre el problema inverso de difusión
(2009-02-20)
Infiltration is physically described in order to model it as a diffusion stochasticprocess. Theorem M-B 1 is enunciated; whose main objective is the inverse diffusionproblem. The theorem is demonstrated in the specific ...