Bayesian Regularization
Mostrando 1-6 de 6 artigos, teses e dissertações.
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1. The use of seismic tomography to describe the upper crustal structure beneath the Chalupas Caldera, Ecuador
Abstract The Chalupas Caldera is a rhyolitic volcano located in the Eastern Cordillera to the Southeast of the Cotopaxi Volcano in the Ecuadorian Andes. It is supposedly fed by a huge magmatic chamber below the caldera. For studying the Chalupas magmatic chamber, the tomographic models obtained by a Tarantola-Valette inversion and studied previously in the e
REM, Int. Eng. J.. Publicado em: 2021-06
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2. Triple categorical regression for genomic selection: application to cassava breeding
ABSTRACT: Genome-wide selection (GWS) is currently a technique of great importance in plant breeding, since it improves efficiency of genetic evaluations by increasing genetic gains. The process is based on genomic estimated breeding values (GEBVs) obtained through phenotypic and dense marker genomic information. In this context, GEBVs of N individuals are c
Sci. agric. (Piracicaba, Braz.). Publicado em: 20/05/2019
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3. Detecção e localização de vazamentos em tubulações utilizando sistemas acústicos e redes neurais / Leak detection and location in pipelines through acoustic method and neural networks
Pipeline networks are complex systems of ducts used nowadays for gas and chemical products transporting through long distances. They frequently cross highly populated regions, water supplies or natural reserves. Even small leaks in pipelines can lead to great losses of products and serious damages to the environment before it could be detected. With the purp
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 29/02/2012
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4. ANN model of RF MEMS Lateral SPDT switches for millimeter wave applications
This paper presents Artificial Neural Network (ANN) implementation for the Radio Frequency (RF) and Mechanical modeling of lateral RF Micro Electro Mechanical System (MEMS) series micro machined Single pole double through (SPDT) switch. We propose an efficient approach based on ANN for analyzing the losses in ON and OFF state of lateral RF MEMS series switch
Journal of Microwaves, Optoelectronics and Electromagnetic Applications. Publicado em: 2012-06
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5. Combinação de modelos de campos aleatórios markovianos para classificação contextual de imagens multiespectrais / Combining markov random field models for multispectral image contextual classification
This work presents a novel MAP-MRF approach for multispectral image contextual classification by combining higher-order Markov Random Field models. The statistical modeling follows the Bayesian paradigm, with the definition of a multispectral Gaussian Markov Random Field model for the observations and a Potts MRF model to represent the a priori knowledge. In
Publicado em: 2010
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6. A STUDY OF THE EFFECTS OF FORECASTING LINEAR TIME SERIES WITH NEURAL NETWORKS / UM ESTUDO DOS EFEITOS DA PREVISÃO DE SÉRIES TEMPORAIS LINEARES COM REDES NEURAIS
Esta dissertação de mestrado analisa os efeitos de previsão de séries temporais com redes neurais em conjunto com a técnica de poda, denominada de Regularização Bayesiana. Utilizam-se diversas séries simuladas cujo processo gerador é de fato linear para comparar as previsões feitas por meio de modelos auto-regressivos lineares e redes neurais. Apre
Publicado em: 2002