Add to ORKG© Springer International Publishing AG 2016. Regression is one of the most basic problems in machine learning. In big data era, for regression problem, extreme learning machine (ELM) can get better generalization performance and much fast training speed. However, the enlarging volume of dataset for training makes regression by ELM a challenging task, and it is hard to finish the training in a reasonable time or it will be out of memory. In this paper, through analyzing the theory of ELM, a MapReduce- Based ELM method is proposed. Under the MapReduce framework, ELM submodels are trained in every slave node parallelly. A combination method is designed to combine all the submodels as a complete model. The experiment results demonstrate that th...
Extreme learning machines (ELMs) are fast methods that obtain state-of-the-art results in regression...
© 2017 Elsevier Ltd Extreme Learning Machine (ELM) is a popular machine learning method which can fl...
We are in the computing era of super-zetta data bytes (a.k.a. Big Data). Big Data is critical to dev...
Today, we are living in a data-exploding era, in which the volume of data is expanding in an unbelie...
In this age of Big Data, machine learning based data mining methods are extensively used to inspect ...
The machine learning techniques have been extensively studied in the past few decades. One of the mo...
AbstractThe emergence of the big data problem has pushed the machine learning research community to ...
With the emergence of big data, inducting regression trees on very large data sets became a common d...
Extreme Learning Machine (ELM) is a single hidden layer feedforward neural network which randomly c...
Due to the significant efficiency and simple implementation, extreme learning machine (ELM) algorith...
MapReduce and its variants have emerged as viable competitors for big data analysis with a commodity...
A large volume of datasets is available in various fields that are stored to be somewhere which is c...
Nowadays, due to advances in technology, data is generated at an incredible pace, resulting in large...
Abstract—Extreme learning machines (ELMs) have proven to be efficient and effective learning mechani...
Due to the simplicity of their implementations, least square support vector machine (LS-SVM) and pro...
Extreme learning machines (ELMs) are fast methods that obtain state-of-the-art results in regression...
© 2017 Elsevier Ltd Extreme Learning Machine (ELM) is a popular machine learning method which can fl...
We are in the computing era of super-zetta data bytes (a.k.a. Big Data). Big Data is critical to dev...
Today, we are living in a data-exploding era, in which the volume of data is expanding in an unbelie...
In this age of Big Data, machine learning based data mining methods are extensively used to inspect ...
The machine learning techniques have been extensively studied in the past few decades. One of the mo...
AbstractThe emergence of the big data problem has pushed the machine learning research community to ...
With the emergence of big data, inducting regression trees on very large data sets became a common d...
Extreme Learning Machine (ELM) is a single hidden layer feedforward neural network which randomly c...
Due to the significant efficiency and simple implementation, extreme learning machine (ELM) algorith...
MapReduce and its variants have emerged as viable competitors for big data analysis with a commodity...
A large volume of datasets is available in various fields that are stored to be somewhere which is c...
Nowadays, due to advances in technology, data is generated at an incredible pace, resulting in large...
Abstract—Extreme learning machines (ELMs) have proven to be efficient and effective learning mechani...
Due to the simplicity of their implementations, least square support vector machine (LS-SVM) and pro...
Extreme learning machines (ELMs) are fast methods that obtain state-of-the-art results in regression...
© 2017 Elsevier Ltd Extreme Learning Machine (ELM) is a popular machine learning method which can fl...
We are in the computing era of super-zetta data bytes (a.k.a. Big Data). Big Data is critical to dev...