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Listar por palabra clave "Recurrent Neural Networks"

Mostrando ítems 1-6 de 6

Continuous spaces in statistical machine Translation

Peris Abril, Álvaro (Universitat Politècnica de València, 2016-07-29)

[EN] Classically, statistical machine translation relied on representations of words in a discrete space. Words and phrases were atomically represented as indices in a vector. In the last years, techniques for representing ...
CONTRIBUTIONS TO EFFICIENT AUTOMATIC TRANSCRIPTION OF VIDEO LECTURES

Agua Teba, Miguel Ángel del (Universitat Politècnica de València, 2019-11-04)

[ES] Durante los últimos años, los repositorios multimedia en línea se han convertido en fuentes clave de conocimiento gracias al auge de Internet, especialmente en el área de la educación. Instituciones educativas de todo ...
Desarrollo de Soporte de Redes Recurrentes en Plataforma de Entrenamiento

Díaz Bou, Pere (Universitat Politècnica de València, 2021-09-28)

[ES] La investigación en inteligencia artificial está creciendo a un ritmo constante y gracias a ello, se están resolviendo problemas que hasta hace poco parecían imposibles. Las Redes Neuronales son unos de los algoritmos ...
Development and experimentation of a deep learning system for convolutional and recurrent neural networks

Mocholí Calvo, Carlos (Universitat Politècnica de València, 2018-09-11)

[EN] At present, there are very few deep learning toolkits focused on the task of Handwritten Text Recognition (HTR). HTR refers to the problem of recognizing a sequence of characters in an input image. For this reason, ...
Forecasting Univariate Solar Irradiance using Machine learning models: A case study of two Andean Cities

Díaz-Bedoya, Daniel; González-Rodríguez, Mario; Clairand-Gómez, Jean-Michel; Serrano-Guerrero, Johnny Xavier; Escrivá-Escrivá, Guillermo (Elsevier, 2023-11-15)

[EN] The integration of solar energy into power systems is essential for the future sustainability of power systems, particularly for isolated systems, such as microgrids, where establishing a primary transmission network ...
Offline Features for Classifying Handwritten Math Symbols with Recurrent Neural Networks

Álvaro Muñoz, Francisco; Sánchez Peiró, Joan Andreu; Benedí Ruiz, José Miguel (IEEE, 2014-08)

In mathematical expression recognition, symbol classification is a crucial step. Numerous approaches for recognizing handwritten math symbols have been published, but most of them are either an online approach or a ...