705 search results - page 101 / 141 » Unsupervised Learning Using MML |
108
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BMCBI
2008
15 years 1 months ago
2008
Background: In metagenomic studies, a process called binning is necessary to assign contigs that belong to multiple species to their respective phylogenetic groups. Most of the cu...
111
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PRIB
2009
Springer
15 years 8 months ago
2009
Springer
Abstract. Clustering is a widely used unsupervised data analysis technique in machine learning. However, a common requirement amongst many existing clustering methods is that all p...
107
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SBRN
2000
IEEE
15 years 5 months ago
2000
IEEE
This paper explores basic aspects of the immune system and proposes a novel immune network model with the main goals of clustering and filtering unlabeled numerical data sets. It ...
143
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EMNLP
2009
14 years 11 months ago
2009
We connect two scenarios in structured learning: adapting a parser trained on one corpus to another annotation style, and projecting syntactic annotations from one language to ano...
112
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EWSN
2008
Springer
16 years 1 months ago
2008
Springer
In this paper3 , we use Bayesian Networks as a means for unsupervised learning and anomaly (event) detection in gas monitoring sensor networks for underground coal mines. We show t...