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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Bibliografiska uppgifter
Övriga upphovsmän:	Guo Hongliang, Zhang Jie, Association for the Advancement of Artificial Intelligence (AAAI); International Joint Conferences on Artificial Intelligence Organization (IJCAI)
Materialtyp:	Bok
Språk:	engelska
Ämnen:	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
Länkar:	A Distributed and Scalable Machine Learning Approach for Big Data
Taggar:	Lägg till en tagg Inga taggar, Lägg till första taggen!

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