Distributed learning algorithms for swarm robotics

2016 ◽  
Vol 172 ◽  
pp. 290-291 ◽  
Author(s):  
Nadia Nedjah ◽  
Luiza de Macedo Mourelle
Keyword(s):  
Swarm Robotics ◽  
Learning Algorithms ◽  
Distributed Learning

scholarly journals Distributed Learning over Massive XML Documents in ELM Feature Space

2015 ◽  
Vol 2015 ◽  
pp. 1-13 ◽  
Author(s):  
Xin Bi ◽  
Xiangguo Zhao ◽  
Guoren Wang ◽  
Zhen Zhang ◽  
Shuang Chen
Keyword(s):  
Extreme Learning Machine ◽  
Learning Algorithms ◽  
Distributed Learning ◽  
Feature Space ◽  
Information Representation ◽  
Xml Data ◽  
Xml Documents ◽  
Training Samples ◽  
Effectiveness And Efficiency ◽  
Learning Machine

With the exponentially increasing volume of XML data, centralized learning solutions are unable to meet the requirements of mining applications with massive training samples. In this paper, a solution to distributed learning over massive XML documents is proposed, which provides distributed conversion of XML documents into representation model in parallel based on MapReduce and a distributed learning component based on Extreme Learning Machine for mining tasks of classification or clustering. Within this framework, training samples are converted from raw XML datasets with better efficiency and information representation ability and taken to distributed learning algorithms in Extreme Learning Machine (ELM) feature space. Extensive experiments are conducted on massive XML documents datasets to verify the effectiveness and efficiency for both classification and clustering applications.

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