A Distributed and Scalable Machine Learning Approach for Big Data

A Distributed and Scalable Machine Learning Approach for Big Data

En esta investigacin̤ se propone un enfoque novedoso de descomposicin̤ y combinacin̤ de matrices con el algoritmo PBCD (parallel block coordinate descent) para efectuar el esfuerzo computacional distribuido para varios de los ms̀ populares algoritmos de aprendizaje automt̀ico, tales como mq̀uinas de...

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Altri autori:	Guo Hongliang, Zhang Jie, Association for the Advancement of Artificial Intelligence (AAAI); International Joint Conferences on Artificial Intelligence Organization (IJCAI)
Natura:	Libro
Lingua:	inglese
Soggetti:	Datos masivos Ciencia de datos Big data Data science Aprendizaje automt̀ico Algoritmo PBCD Descomposicin̤ y combinacin̤ de matrices Complejidad de computacin̤ Machine learning PBCD algorithm Matrix decomposition and combination Computation complexity
Accesso online:	A Distributed and Scalable Machine Learning Approach for Big Data
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