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Listar por palabra clave "Dimensionality reduction"

Mostrando ítems 1-14 de 14

A Deep Embedded Framework for Spitzoid Neoplasm Classification Using DNA Methylation Data

del Amor, Rocío; Colomer, Adrián; Monteagudo, Carlos; Garzón, María José; García-Giménez, José Luis; Naranjo Ornedo, Valeriana (IEEE, 2021-08-27)

[EN] Spitzoid melanocytic tumors (SMT) are a group of neoplasms that represent a formidable diagnostic challenge for dermatopathologists. DNA methylation (DNAm) is a welldefined epigenetic factor that has an important role ...
A deep embedded refined clustering approach for breast cancer distinction based on DNA methylation

del Amor, Rocío; Colomer, Adrián; Monteagudo, Carlos; Naranjo Ornedo, Valeriana (Springer-Verlag, 2021-07-31)

[EN] Epigenetic alterations have an important role in the development of several types of cancer. Epigenetic studies generate a large amount of data, which makes it essential to develop novel models capable of dealing with ...
Allying topology and shape optimization through machine learning algorithms

Muñoz-Pellicer, David; Nadal, Enrique; Albelda Vitoria, José; CHINESTA SORIA, FRANCISCO JOSE; Ródenas, Juan José (Elsevier, 2022-07-01)

[EN] Structural optimization is part of the mechanical engineering field and, in most cases, tries to minimize the overall weight of a given design domain, subjected to functionality constraints given in terms of stresses ...
Análisis de la estimación de la calidad en la traducción automática mediante el uso de técnicas estadísticas

Navarro Cerdán, José Ramón (Universitat Politècnica de València, 2014-12-02)

[EN] This work focuses on the study of different techniques of dimensionality reduction, in combination with different learning algorithms in situations of high multicollinearity, scattered spaces (due to the low number ...
Contributions to High-Dimensional Pattern Recognition

Villegas Santamaría, Mauricio (Universitat Politècnica de València, 2011-05-20)

This thesis gathers some contributions to statistical pattern recognition particularly targeted at problems in which the feature vectors are high-dimensional. Three pattern recognition scenarios are addressed, namely pattern ...
Development of Hybrid Optimization Techniques of Mechanical Components Employing the Cartesian Grid Finite Element Method

Muñoz Pellicer, David (Universitat Politècnica de València, 2024-02-15)

[ES] Esta tesis explora enfoques innovadores para la optimización estructural, abarcando una variedad de algoritmos de optimización comúnmente utilizados en el campo. Se centra específicamente en la optimización de forma ...
Dimensionality reduction by minimizing nearest-neighbor classification error

Villegas, Mauricio; Paredes Palacios, Roberto (Elsevier, 2011-03)

There is a great interest in dimensionality reduction techniques for tackling the problem of high-dimensional pattern classification. This paper addresses the topic of supervised learning of a linear dimension reduction ...
Dimensionality reduction methods for machine translation quality estimation

González Rubio, Jesús; Navarro Cerdán, José Ramón; Casacuberta Nolla, Francisco (Springer Verlag (Germany), 2013-12)

[EN] Quality estimation (QE) for machine translation is usually addressed as a regression problem where a learning model is used to predict a quality score from a (usually highly-redundant) set of features that represent ...
Diseño y desarrollo de sistemas automáticos de clasificación de tumores melanocíticos spitzoides.

Del Amor del Amor, María Rocío (Universitat Politècnica de València, 2021-01-26)

[ES] El cáncer de piel representa el grupo más común de neoplasias malignas en la población blanca. De hecho, en la actualidad, uno de cada tres cánceres diagnosticados es cáncer de piel. Aunque dos de los cánceres cutáneos ...
Estudio de algoritmos y modelos para la detección de patrones similares de juego en futbolistas profesionales

Simó Vidal, Andreu (Universitat Politècnica de València, 2023-10-24)

[ES] Este trabajo aborda la tarea de la búsqueda de jugadores similares, en concreto, de los jugadores de campo de las cinco grandes ligas durante la temporada 2017-18 a partir de técnicas de aprendizaje automático, como ...
Manifold learning for coherent design interpolation based on geometrical and topological descriptors

Muñoz-Pellicer, David; Allix, O.; CHINESTA SORIA, FRANCISCO JOSE; Ródenas, Juan José; Nadal, Enrique (Elsevier, 2023-02-15)

[EN] In the context of intellectual property in the manufacturing industry, know-how is referred to practical knowledge on how to accomplish a specific task. This know-how is often difficult to be synthesised in a set of ...
Measuring the social responsibility of European companies: a goal programming approach

García-Martínez, Gabriel; Guijarro, Francisco; Poyatos-León, Juan Ángel (Blackwell Publishing, 2019)

[EN] Corporate social responsibility (CSR) can be measured by a number of different criteria, some of which are similar to each other, while others can be manifestly contrary to the general tendency. This means that some ...
On improving robustness of LDA and SRDA by using tangent vectors

Villegas Santamaría, Mauricio; Paredes Palacios, Roberto (Elsevier, 2013-07)

[EN] In the area of pattern recognition, it is common for few training samples to be available with respect to the dimensionality of the representation space; this is known as the curse of dimensionality. This problem can ...
Reconocimiento Multimodal Automatizado de Emociones

Fernández Carbonell, Marcos (Universitat Politècnica de València, 2020-10-19)

[ES] Ser capaz de leer e interpretar estados afectivos juega un papel importante en la sociedad. Sin embargo, esto es difícil en algunas situaciones, especialmente cuando la información se limita a señales vocales o visuales. ...