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ESANN
2006
13 years 9 months ago
An algorithm for fast and reliable ESOM learning
The training of Emergent Self-organizing Maps (ESOM ) with large datasets can be a computationally demanding task. Batch learning may be used to speed up training. It is demonstrat...
Mario Nöcker, Fabian Mörchen, Alfred Ult...
SIGMOD
2007
ACM
190views Database» more  SIGMOD 2007»
14 years 7 months ago
Map-reduce-merge: simplified relational data processing on large clusters
Map-Reduce is a programming model that enables easy development of scalable parallel applications to process vast amounts of data on large clusters of commodity machines. Through ...
Hung-chih Yang, Ali Dasdan, Ruey-Lung Hsiao, Dougl...
ICRA
2009
IEEE
162views Robotics» more  ICRA 2009»
14 years 2 months ago
Distributed sensor analysis for fault detection in tightly-coupled multi-robot team tasks
— This paper presents a distributed version of our previous work, called SAFDetection, which is a sensor analysisbased fault detection approach that is used to monitor tightlycou...
Xingyan Li, Lynne E. Parker
OSDI
2008
ACM
14 years 7 months ago
Improving MapReduce Performance in Heterogeneous Environments
MapReduce is emerging as an important programming model for large-scale data-parallel applications such as web indexing, data mining, and scientific simulation. Hadoop is an open-...
Matei Zaharia, Andy Konwinski, Anthony D. Joseph, ...
ICANNGA
2009
Springer
173views Algorithms» more  ICANNGA 2009»
13 years 5 months ago
On Document Classification with Self-Organising Maps
Abstract This research deals with the use of self-organising maps for the classification of text documents. The aim was to classify documents to separate classes according to their...
Jyri Saarikoski, Kalervo Järvelin, Jorma Laur...