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Solucion parcial 3
Solucion parcial 3
Solución al tercer examen parcial del curso de Algebra
Memo Garro
Teorema de eliminación de corte
Teorema de eliminación de corte
Comparto este trabajo para quien le pueda servir la plantilla que utilizamos, únicamente con fines educativos.
Diego Londoño
Hecke groups, linear recurrences and Kepler limits (update 2)
Hecke groups, linear recurrences and Kepler limits (update 2)
Computations with the the objects mentioned in the title.
Barry Brent
Modélisation de l’évacuation d’un immeuble en cas d’incendie
Modélisation de l’évacuation d’un immeuble en cas d’incendie
When an issue arises in a building, people's evacuation is a recurring challenge. We wondered whether we could make a realistic simulation of people’s evacuation based on a simple physical model. First, we elaborated this model and then we simulate the people’s comportment on MATLAB. We could conclude that our simulation is enough to describe the general comportment of people.
Guillaume
Integration of Some Elementary Integrals
Integration of Some Elementary Integrals
Integration of some elementary integrals
Adrian D'Costa
Trabajo practico-Fenomenos de transporte 3
Trabajo practico-Fenomenos de transporte 3
Trabajo realizado en la catedra fenomenos 3
Oscar Daniel Rivas Villar
MOOC Dropout Prediction with Model Stacking
MOOC Dropout Prediction with Model Stacking
We are asked to predict the probability of the event that a student will drop out a course. We firstly extracted many features from the huge dataset. Then we used ensemble learning machine and model stacking technique to get the final result, which ranked the 1st in 68 teams.
Qi Zhao
Una revisión del método Distance Weighted Discrimination: ¿Una mejora de SVM en dimensiones altas?
Una revisión del método Distance Weighted Discrimination: ¿Una mejora de SVM en dimensiones altas?
El análisis estadístico de alta dimensión y tamaño de muestra pequeño (HDLSS) se está aplicando cada vez más en una amplia gama de contextos. En tales situaciones, se ve que el popular método de la Máquina de Vectores Soporte (SVM) sufre de ''Acumulación de datos'' en el margen, lo que puede disminuir la capacidad de generalización del modelo. Esto conduce al desarrollo de la Distance Weighted Discrimination para encontrar un hiperplano separador . En el presente trabajo se revisa y reproduce, con detalle en la derivación y solución de la función de pérdida que se resuelve usando SOCP, del método desarrollado en e implementado en el entorno R\cite{R}. Basado en el trabajo e implementación de se aplica y comparan resultados a conjuntos de datos reales y simulados (en medida de lo posible los mismos conjuntos de datos utilizados que en) Palabras clave: SVM, kernel, R (el ambiente de cómputo estadístico) y datos de alta dimensión con tamaño de muestra pequeño (data High Dimension Low Sample Size).
José Antonio garcia
Edge-Disjoint Tree Realization of Tree Degree Matrices that avoid routine induction
Edge-Disjoint Tree Realization of Tree Degree Matrices that avoid routine induction
Identifying whether a degree matrix has an edge-disjoint realization is an NP-hard problem. In comparison, identifying whether a tree degree matrix has an edge-disjoint realization is easier, but the task is still challenging. In 1975, a sufficient condition for the tree degree matrices with three rows has been found, but the condition has not been improved since. This paper contains an essential part of the proof which improves the sufficient condition.
Ian Seong

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