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Distributed Extreme Learning Machine with kernels based on MapReduce

Xin Bi, Xiangguo Zhao, Guoren Wang, Pan Zhang, Chao Wang
<span title="">2015</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/bby322qx6ndsje4ypr56c7nnly" style="color: black;">Neurocomputing</a> </i> &nbsp;
Extreme Learning Machine (ELM) has shown its good generalization performance and extremely fast learning speed in many learning applications.  ...  This paper proposes a distributed solution named Distributed Kernelized ELM (DK-ELM), which realizes an implementation of ELM with kernels on MapReduce.  ...  In particular our contributions can be summarized as: (1) A distributed solution to massive training of ELM with kernels, named Distributed Kernelized Extreme Learning Machine (DK-ELM), is proposed and  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.neucom.2014.01.070">doi:10.1016/j.neucom.2014.01.070</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/s7padb4yszaxtjylafpqtxntp4">fatcat:s7padb4yszaxtjylafpqtxntp4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170811224408/http://www.chinacloud.cn/upload/2015-01/15011009022423.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/06/91/0691d4ecd73e38e11e9cea6f10ee210a5e789d7e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.neucom.2014.01.070"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

Distributed Averaging CNN-ELM for Big Data [article]

Arif Budiman, Mohamad Ivan Fanany, Chan Basaruddin
<span title="2016-10-07">2016</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
In this paper, we proposed a scale out approach for CNN-ELM based on MapReduce on classifier level. Map process is the CNN-ELM training for certain partition of data.  ...  Increasing the scalability of machine learning to handle big volume of data is a challenging task. The scale up approach has some limitations.  ...  learning machine (OS-ELM) [17] ) or by MapReduce approach (Elastic Extreme Learning Machine (E 2 LM) [27] or Parallel ELM [6] ).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1610.02373v1">arXiv:1610.02373v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/hjrvpvktxnen7mxrzlfnkthbim">fatcat:hjrvpvktxnen7mxrzlfnkthbim</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20191019185626/https://arxiv.org/pdf/1610.02373v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/0c/4b/0c4b79daf59b896b88a18b78962479dba1e20b60.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1610.02373v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Distributed Learning over Massive XML Documents in ELM Feature Space

Xin Bi, Xiangguo Zhao, Guoren Wang, Zhen Zhang, Shuang Chen
<span title="">2015</span> <i title="Hindawi Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wpareqynwbgqdfodcyhh36aqaq" style="color: black;">Mathematical Problems in Engineering</a> </i> &nbsp;
and a distributed learning component based on Extreme Learning Machine for mining tasks of classification or clustering.  ...  Machine (ELM) feature space.  ...  Extreme Learning Machine feature mapping is presented in Section 3.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2015/923097">doi:10.1155/2015/923097</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2qxlvlx2pfesbnsgxzsgaplaea">fatcat:2qxlvlx2pfesbnsgxzsgaplaea</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190502150501/http://downloads.hindawi.com/journals/mpe/2015/923097.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/8c/a4/8ca41c5452eaeb1f4f7d8cdaa1e8ab5372b2107d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2015/923097"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> hindawi.com </button> </a>

ELM-Based Distributed Cooperative Learning Over Networks [article]

Wu Ai, Weisheng Chen
<span title="2015-11-30">2015</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Specifically, the extreme learning machine (ELM) is introduced to train a set of data distributed across several components, and each component runs a program on a subset of the entire data.  ...  A new distributed cooperative learning algorithm based on ELM, called DC-ELM, is proposed.  ...  Section II briefs the basic ELM and distributed optimization. Section III presents the novel distributed cooperative extreme learning machine.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1504.00981v2">arXiv:1504.00981v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/dxo563fsibecbarjjgamy32nj4">fatcat:dxo563fsibecbarjjgamy32nj4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200828073628/https://arxiv.org/pdf/1504.00981v1.pdf" title="fulltext PDF download [not primary version]" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <span style="color: #f43e3e;">&#10033;</span> <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/9f/6d/9f6d2d8ca4557207178738aafba8bf794cf129f5.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1504.00981v2" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Efficient ELM-Based Two Stages Query Processing Optimization for Big Data

Linlin Ding, Yu Liu, Baoyan Song, Junchang Xin
<span title="">2015</span> <i title="Hindawi Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wpareqynwbgqdfodcyhh36aqaq" style="color: black;">Mathematical Problems in Engineering</a> </i> &nbsp;
MapReduce and its variants have emerged as viable competitors for big data analysis with a commodity cluster of machines.  ...  Therefore, an efficient ELM-based two stages query processing optimization model is proposed in this paper, named ELM to ELM (E2E) model.  ...  Nowadays, extreme learning machine (ELM) [12] and its variants [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] have the characteristics of excellent generalization performance  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2015/236084">doi:10.1155/2015/236084</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/edtvjfoiqnaqnj3qgxs7m4wkfm">fatcat:edtvjfoiqnaqnj3qgxs7m4wkfm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190430191554/http://downloads.hindawi.com/journals/mpe/2015/236084.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/22/83/2283efbf267f319bc12f0e4442d2ce79cc0a8339.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2015/236084"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> hindawi.com </button> </a>

Combustion Optimization for Coal Fired Power Plant Boilers Based on Improved Distributed ELM and Distributed PSO

Xinying Xu, Qi Chen, Mifeng Ren, Lan Cheng, Jun Xie
<span title="2019-03-17">2019</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/a2yvk5xhdnhpxjnk6yd33uudqq" style="color: black;">Energies</a> </i> &nbsp;
An improved distributed extreme learning machine is used to establish the combustion system model aiming at boiler combustion efficiency and NOx emission.  ...  The MapReduce programming framework is used to parallelize the proposed algorithm model and improve its ability to deal with big data.  ...  An improved Distributed Extreme Learning Machine (IDELM) is proposed and applied to boiler combustion system modeling.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/en12061036">doi:10.3390/en12061036</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/h47bvte4evfyzh2rloyh2mse2q">fatcat:h47bvte4evfyzh2rloyh2mse2q</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190503230312/https://res.mdpi.com/energies/energies-12-01036/article_deploy/energies-12-01036.pdf?filename=&amp;attachment=1" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/1e/28/1e2868a252ec5209d87b390df3962a7fe1ed14e2.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/en12061036"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

Adaptive Convolutional ELM For Concept Drift Handling in Online Stream Data [article]

Arif Budiman, Mohamad Ivan Fanany, Chan Basaruddin
<span title="2016-10-07">2016</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
In this paper, we proposed the Adaptive Convolutional ELM method (ACNNELM) as enhancement of Convolutional Neural Network (CNN) with a hybrid Extreme Learning Machine (ELM) model plus adaptive capability  ...  We enhanced the CNN as convolutional hiererchical features representation learner combined with Elastic ELM (E^2LM) as a parallel supervised classifier.  ...  Another approach is Elastic Extreme Learning Machine (E 2 LM) [40] or Parallel ELM [10] based on MapReduce framework to solve large sequential training data in a parallel way.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1610.02348v1">arXiv:1610.02348v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/rbckloxuovfe5nasrjdbrqolgq">fatcat:rbckloxuovfe5nasrjdbrqolgq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200823025400/https://arxiv.org/pdf/1610.02348v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/51/d9/51d90846e5c5de577759f10ddf1c421ed56a8a4d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1610.02348v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Learning ELM-Tree from big data based on uncertainty reduction

Ran Wang, Yu-Lin He, Chi-Yin Chow, Fang-Fang Ou, Jian Zhang
<span title="">2015</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wcbukkuh2vbrpcbz2f4z2a2g6u" style="color: black;">Fuzzy sets and systems (Print)</a> </i> &nbsp;
In this paper, we first propose an extreme learning machine tree (ELM-Tree) model based on the heuristics of uncertainty reduction.  ...  In order to resolve the over-partitioning problem, a hybrid DT induction scheme, named Extreme Learning Machine Tree (ELM-Tree), is proposed in this paper.  ...  The detail of ELM is described in Algorithm 1. Algorithm 1: Extreme Learning Machine -ELM.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.fss.2014.04.028">doi:10.1016/j.fss.2014.04.028</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/cpwsgxaqqve37cign3p7kyddda">fatcat:cpwsgxaqqve37cign3p7kyddda</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170810024450/http://www.cs.cityu.edu.hk/~chiychow/papers/FSS_2014.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/61/ad/61add1fce7baa960cfa14429d1dab37f8831757d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.fss.2014.04.028"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

A Theoretical Study of The Relationship Between Whole An ELM Network and Its Subnetworks [article]

Enmei Tu, Guanghao Zhang, Lily Rachmawati, Eshan Rajabally and Guang-Bin Huang
<span title="2016-10-30">2016</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
A biological neural network is constituted by numerous subnetworks and modules with different functionalities.  ...  In this paper we explore the relationship between an ELM neural network and its subnetworks.  ...  ACKNOWLEDGMENT This work was conducted within the Rolls-Royce@NTU Corporate Lab with support from the National Research Foundation (NRF) Singapore under the Corp Lab@University Scheme.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1610.09608v1">arXiv:1610.09608v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/g6o5gocwjrbzhbopss2fwsgno4">fatcat:g6o5gocwjrbzhbopss2fwsgno4</a> </span>
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A Novel Adaptive Multi-view Non-Negative Graph Semi-supervised ELM

Feng Zheng, Zeyu Liu, Yijian Chen, Jiacheng An, Yanyan Zhang
<span title="">2020</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q7qi7j4ckfac7ehf3mjbso4hne" style="color: black;">IEEE Access</a> </i> &nbsp;
This paper represents a semi-supervised learning framework, which integrates multi-view learning, extreme learning machine (ELM) and graph-based semi-supervised learning.  ...  The proposed ELM method also will be adaptive since the number of hidden layer neuron will change with different number of input and output layer neuron.  ...  For instance, a new unsupervised extreme learning machine (US-ELM) [24] , novel online sequential ELM(OS-ELM) [25] , and a novel ELM algorithm based on MapReduce and ensemble technique [26] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2020.2998428">doi:10.1109/access.2020.2998428</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/5kuens7aibb35kgjkdyxovx76q">fatcat:5kuens7aibb35kgjkdyxovx76q</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210427063731/https://ieeexplore.ieee.org/ielx7/6287639/8948470/09103516.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/76/e7/76e7110b62839f3573e060a952f7fb1c11481392.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2020.2998428"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> ieee.com </button> </a>

Classification with boosting of extreme learning machine over arbitrarily partitioned data

Ferhat Özgür Çatak
<span title="2015-11-19">2015</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/e5brmbb4nne2bb6o5whxervgii" style="color: black;">Soft Computing - A Fusion of Foundations, Methodologies and Applications</a> </i> &nbsp;
Hence, we explore the power of applying MapReduce based Distributed AdaBoosting of Extreme Learning Machine (ELM) to build a predictive bag of classification models.  ...  Machine learning based computational intelligence methods are widely used to analyze large scale data sets in this age of big data.  ...  Extreme Learning Machine (ELM) was proposed by [1] based on generalized Single-hidden Layer Feedforward Networks (SLFNs).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s00500-015-1938-4">doi:10.1007/s00500-015-1938-4</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/hr72whwitrb3pl7ljcedfctxvi">fatcat:hr72whwitrb3pl7ljcedfctxvi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20191026013857/https://arxiv.org/pdf/1602.02887v1.pdf" title="fulltext PDF download [not primary version]" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <span style="color: #f43e3e;">&#10033;</span> <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/33/bb/33bb268d3bd128f4ba743d644c5325a5dc5196d9.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s00500-015-1938-4"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

A Construction Method of Gene Expression Data Based on Information Gain and Extreme Learning Machine Classifier on Cloud Platform

Sha-Sha Wei, Hui-Juan Lu, Wei Jin, Chao Li
<span title="2014-04-30">2014</span> <i title="Science and Engineering Research Support Society"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/3ditg5diardybi4jjjavndg434" style="color: black;">International Journal of Database Theory and Application</a> </i> &nbsp;
By analyzing the process of MapReduce computing paradigms on cloud platform, it is found that the feature selection which through parallel and distributed computing in MapReduce combined with extreme learning  ...  machine is appropriate for constructing a recognition method.  ...  Extreme Learning Machine (ELM).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14257/ijdta.2014.7.2.10">doi:10.14257/ijdta.2014.7.2.10</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3gur6aj27zcqdjrepks3ymjnba">fatcat:3gur6aj27zcqdjrepks3ymjnba</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180603114521/http://www.sersc.org/journals/IJDTA/vol7_no2/10.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/95/1d/951d2424b764cc849aec7a4eb6021f1deffd0ca0.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14257/ijdta.2014.7.2.10"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Distributed and weighted extreme learning machine for imbalanced big data learning

Zhiqiong Wang, Junchang Xin, Hongxu Yang, Shuo Tian, Ge Yu, Chenren Xu, Yudong Yao
<span title="">2017</span> <i title="Tsinghua University Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/w77vm44enzh4tgk44gtrsw7f64" style="color: black;">Tsinghua Science and Technology</a> </i> &nbsp;
The Extreme Learning Machine (ELM) and its variants are effective in many machine learning applications such as Imbalanced Learning (IL) or Big Data (BD) learning.  ...  The Distributed and Weighted ELM (DW-ELM) algorithm is proposed, which is based on the MapReduce framework.  ...  MapReduce framework Distributed and Weighted Extreme Learning Machine In this section, we present the DW-ELM and IDW-ELM algorithms.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.23919/tst.2017.7889638">doi:10.23919/tst.2017.7889638</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4t3xwhh2xngwtole23rxeszhbq">fatcat:4t3xwhh2xngwtole23rxeszhbq</a> </span>
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A Survey of Distributed and Parallel Extreme Learning Machine for Big Data

Zhiqiong Wang, Ling Sui, Junchang Xin, Luxuan Qu, Yudong Yao
<span title="">2020</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q7qi7j4ckfac7ehf3mjbso4hne" style="color: black;">IEEE Access</a> </i> &nbsp;
Extreme learning machine (ELM) is one kind of neural networks with random weights to train singlehidden layer feedforward networks (SLFNs).  ...  Compared with the Extreme SVMs proposed by Liu [39] and Benoit [40] , the ELM constructed with this method has fewer constraints and better learning ability.  ... 
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Cloud Computing and Extreme Learning Machine for a Distributed Energy Consumption Forecasting in Equipment-Manufacturing Enterprises

Rui-Dong Wang, Xue-Shan Sun, Xin Yang, Haiju Hu
<span title="2016-12-01">2016</span> <i title="Walter de Gruyter GmbH"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/yqncwzlovvhvhktpm65k4wwuoe" style="color: black;">Cybernetics and Information Technologies</a> </i> &nbsp;
Therefore, this paper proposes an intellectualized, short-term distributed energy consumption forecasting model for equipment-manufacturing enterprises based on cloud computing and extreme learning machine  ...  Fig. 1 . 1 MapReduce The proposed online sequential extreme learning machine algorithm 2.3.2.  ...  This algorithm is called the MapReduce Weighted Averaged Online Sequential Extreme Learning Machine (MR-OSELM-WA).  ... 
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