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Recinto Universitario de Mayagüez, Call Box 9000 Mayagüez, PR 00681(787) 832-4040 ext. 3810, 2151, 2155library@uprm.edu
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Efecto de casos anómalos en máquinas de vectores de soporte 

Restrepo-Henao, Alba M. (2009-03)
Support Vector Machines (SVM) is a new technique of classification that has received much attention in recent years. In many applications, the SVM has shown better performance than machine learning methods, and it has been ...

Análisis sobre métodos de pruebas de hipótesis múltiple en la identificación de genes diferencialmente expresados 

Muñiz-Rivera, Lus M. (2009-07)
The Human Genome Project is the most important reason for the surge of new technologies in the microarray area. These technologies facilitate the experimentation with a large number of genes simultaneously. These experiments ...

A comparison in cluster validation techniques 

González-Toledo, Marggie D. (2004)
Clustering may be defined as a process that aims to find partitions of similar objects. It is an unsupervised recognition procedure since there are no predefined classes that indicate grouping properties in the data set. ...

Clasificación noparamétrica en datos direccionales 

Velasco-Forero, Santiago A. (2004)
In a supervised classification problem, when the vectors of data are direction- al, it means, that they take values on a k-dimensional sphere, the application of the algorithms of pattern recognition as k-nearest-neighbour ...

Evaluación de métodos de imputación para datos de expresión genética 

Díaz-Hernández, Sindy (2007)
The technology of microarrays introduced in the middle of the nineties allow the analysis of the gene expression levels of thousands of genes simultaneously. The identification of genes with an expression level very different ...

Componentes principales supervisados para clasificación de datos de expresión genética 

Porras-Cerrón, Jaime C. (2005)
The gene expression data obtained through the technology of microarrays are characterized by its considerably greater amount of features in comparison to the number of observations. The direct use of traditional statistics ...

Regresión logística con penalidad ridge aplicada a datos de expresión genética 

Prieto-Castellanos, Karen A. (2005)
Logistic regression analysis is used in classification to find out which group an individual belong from a predictor variables set. In classification sometimes we work with data sets with more variables than observations. ...

Clasificadores por redes bayesianas 

López de Castilla-Vásquez, Carlos (2005)
A Bayesian network is a compact representation of joint probability function. Formally, a Bayesian network is an acyclic directed graph in which each node represents a random variable and the relationships of dependence ...

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AuthorDíaz-Hernández, Sindy (1)González-Toledo, Marggie D. (1)López de Castilla-Vásquez, Carlos (1)Muñiz-Rivera, Lus M. (1)Porras-Cerrón, Jaime C. (1)Prieto-Castellanos, Karen A. (1)Restrepo-Henao, Alba M. (1)Velasco-Forero, Santiago A. (1)Advisor
Acuña-Fernández, Edgar (8)
KeywordsMicroarrays (2)Binary classification (1)Clasificación noparamétrica (1)Classification problems (1)Cluster validation techniques (1)Datos de expresión genética (1)Human Genome Project (1)Outlier detection (1)P-value (1)Probability (1)... View MoreSubject HeadingAlgorithms (1)Cluster analysis (1)Genomics -- Statistical methods (1)Human genome (1)Microarrays, DNA (1)Multiple comparisons (Statisitcs) (1)Multivariate analysis (1)Outliers (Satistics) (1)Statistical hypothesis testing -- Mathematical models (1)Support vector machines (1)TypeThesis (8)Date2005 (3)2004 (2)2009 (2)2007 (1)DepartmentDepartment of Mathematics (8)Program
Mathematical Statistics (8)
CollectionTheses & Dissertations (8)

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