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Regresion PLS y PCA como Solucion al Problema de Multicolinealidad en Regresion Multiple
Regresion PLS y PCA Como Solución al Problema de Multicolinealidad en Regresion Multiple
(2011-03-18)
We present and compare principal components regression and partial least squares regression, and their solution to the problem of multicollinearity. We illustrate the use of both techniques, and demonstrate the superiority ...
Fuzzy Regression VS. Ordinary Least Squares Regression: Case Study
Regresión Borrosa VS. Regresión por Mínimos Cuadrados Ordinarios: Caso de Estudio
(2011-03-18)
The objective of this paper is to disseminate the technique of fuzzy regression and to give a practical example of its use. To this end, classical regression is compared to several fuzzy regression models on a problem ...
Curvas ROC y Vecinos Cercanos, Propuesta de un Nuevo Algoritmo de Condensación
Curvas ROC y Vecinos Cercanos, Propuesta de un Nuevo Algoritmo de Condensación
(2011-03-18)
k-NN criteria are non parametric methods of statistical classificaction. They are accurate, versatile and distribution free. However, their computational cost may be too expensive; especially for large sample sizes. We ...
Optimal Control of Pollution Stock through Ecological Interaction of the Manufacturer and the State
Control Óptimo de Contaminación Almacenada a través de Interacción Ecológica entre el Fabricante y el Estado
(2011-03-18)
A model of an interaction between a manufacturer and the state where the manufacturer produces a single product and the state controls the level of pollution is created and investigated. A local economy with a stock pollution ...
Heuristic for Solving the Multiple Alignment Sequence Problem
Heurística para Solucionar el Problema Alineamiento Múltiple de Secuencias
(2011-03-18)
In this paper we developed a new algorithm for solving the problem of multiple sequence alignment (AM S), which is a hybrid metaheuristic based on harmony search and simulated annealing. The hybrid was validated with the ...
The Decreasing digits and the a, b, c Model: A Proposal for Handling Populations in Shelters
Los Dígitos Decrecientes y el Modelo a, b, c: Una Propuesta para el Manejo de Poblaciones en Albergues
(2011-03-18)
Happened a catastrophe, some one of the impacted population should their move from its homes, toward refuges or shelters. To guarantee the essential services in the shelter, it is necessary to know the population size that ...
Heuristics for Solving the Multiple Problem Identification of the Responses of Brain and Artificial Neural Networks in the Presence of Usual and Unusual Stimuli by Means of Kalman-Type Filters
Identificación de las Respuestas de Redes Neuronales Cerebrales y Artificiales ante la Presencia de Estímulos Frecuentes e Infrecuentes mediante Filtros de tipo Kalman
(2011-03-18)
We consider the problem of obtaining information about the recognition of logical inconsistencies with already imprinted patterns of a subnetwork of a neural network, both cerebral and artificially designed, by means of ...
Integral Equations for the Aggregate Claim Amount
Ecuaciones Integrales para el Monto Agregado de Reclamaciones
(2011-03-18)
In the context of insurance mathematics, we study the renewal properties of the so-called aggregate claim amount for the non-discounted and the discounted case. For these models, we set integral equations for the distribution ...
Creation of a Model of Pollutans Diffusion in Soil-Water System Using a Cellular Automata
Uso de un Autómata Celular para Crear un Modelo de Difusión de Contaminantes en un Sistema Suelo–Agua
(2011-03-18)
In this paper is presented a developed model for a pollutant diffusion in a soil-water system, for specific conditions in a real study area. A model that allows the observations of the pollutant flow in the soil-water ...
Personnel Selection Based on Fuzzy Methods
Selección de Personal Basada en Métodos Difusos
(2011-03-18)
The decisions of managers regarding the selection of staff strongly determine the success of the company. A correct choice of employees is a source of competitive advantage. We propose a fuzzy method for staff selection, ...