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Listar por palabra clave "Regularization"

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Listar por palabra clave "Regularization"

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    Adaptive sparse group LASSO in quantile regression 
    Mendez-Civieta, Alvaro; Aguilera-Morillo, M. Carmen; Lillo, Rosa E. (Springer-Verlag, 2021-09)
    [EN] This paper studies the introduction of sparse group LASSO (SGL) to the quantile regression framework. Additionally, a more flexible version, an adaptive SGL is proposed based on the adaptive idea, this is, the usage ...
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    LQR Robusto Mediante Incertidumbre Acotada en los Datos 
    Ramos Fernández, César; Martínez Iranzo, Miguel Andrés; Sanchís Saez, Javier; Salcedo Romero de Ávila, José Vicente (Universitat Politècnica de València, 2009-12-02)
    [EN] This work presents the BDU technique (Bounded Data Uncertainties) and the tuning of the linear quadratic regulator (LQR) via this technique, improving the system robustness. The BDU method is stated as a Min-Max problem ...
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    Mask selective regularization for restricted Boltzmann machines 
    Mansanet Sandín, Jorge; Albiol Colomer, Alberto; Paredes Palacios, Roberto; Albiol Colomer, Antonio José (Elsevier, 2015-10-01)
    In the present work, we propose to deal with two important issues regarding to the RBM's learning capabilities. First, the topology of the input space, and second, the sparseness of the RBM obtained. One problem of RBMs ...
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    Modifications of Newton's method to extend the convergence domain 
    Budzko, Dzmitry; Cordero Barbero, Alicia; Torregrosa Sánchez, Juan Ramón (Springer, 2014-11)
    The paper is devoted to description of certain ways of extending the domain of convergence of Newton’s method. This paper is a survey of contributions of representatives of Soviet and Russian mathematical school, namely, ...
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    QMRNet: Quality Metric Regression for EO Image Quality Assessment and Super-Resolution 
    Berga, David; Gallés, Pau; Takáts, Katalin; Mohedano, Eva; Riordan-Chen, Laura; García-Moll, Clara; Vilaseca, David; Marín, Javier (MDPI AG, 2023-05-06)
    [EN] The latest advances in super-resolution have been tested with general-purpose images such as faces, landscapes and objects, but mainly unused for the task of super-resolving earth observation images. In this research ...
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    Regularization Techniques for ECG Imaging during Atrial Fibrillation: A Computational Study 
    Figuera C; Suárez Gutiérrez V; Hernández-Romero, Ismael; Rodrigo Bort, Miguel; Liberos Mascarell, Alejandro; Atienza, F.; Guillem Sánchez, María Salud; Barquero-Pérez O; Climent, A.M.; Alonso Atienza, Felipe (Frontiers Media, 2016-10-14)
    The inverse problem of electrocardiography is usually analyzed during stationary rhythms. However, the performance of the regularization methods under fibrillatory conditions has not been fully studied. In this work, we ...
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    Robust and Stable Predictive Control with Bounded Uncertainties 
    Ramos Fernández, César; Martínez Iranzo, Miguel Andrés; Sanchís Saez, Javier; Herrero Durá, Juan Manuel (Elsevier, 2008)
    [EN] Min-Max optimization is often used for improving robustness in Model Predictive Control (MPC). An analogy to this optimization could be the BDU (Bounded Data Uncertainties) method, which is a regularization technique ...
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    The regularization of Old English weak verbs 
    Tío Sáenz, Marta (Editorial Universitat Politècnica de València, 2015-07-02)
    [EN] This article deals with the regularization of non-standard spellings of the verbal forms extracted from a corpus. It addresses the question of what the limits of regularization are when lemmatizing Old English weak ...
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    Unfolding X-ray spectra using a flat panel detector. Determination of the accuracy of the method with the Monte Carlo method 
    Gallardo Bermell, Sergio; Ródenas Diago, José; Verdú Martín, Gumersindo Jesús (Elsevier, 2019-02)
    [EN] The primary X-ray spectrum depends on different parameters such as high voltage, filament current, high voltage ripple, anode angle and thickness of filter material. The objective of this work is to determine whether ...