1127 search results - page 134 / 226 » Improving Data Locality by Chunking |
131
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BMCBI
2010
15 years 4 months ago
2010
Background: Genomic data provide a wealth of new information for phylogenetic analysis. Yet making use of this data requires phylogenetic methods that can efficiently analyze extr...
251
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SADM
2010
14 years 10 months ago
2010
: The k nearest neighbor classification (k-NN) is a very simple and popular method for classification. However, it suffers from a major drawback, it assumes constant local class po...
156
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PAMI
2008
15 years 4 months ago
2008
The Expectation Maximization (EM) algorithm is widely used for learning finite mixture models despite its greedy nature. Most popular model-based clustering techniques might yield...
117
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BMCBI
2007
15 years 4 months ago
2007
Background: Support Vector Machines (SVMs) provide a powerful method for classification (supervised learning). Use of SVMs for clustering (unsupervised learning) is now being cons...
122
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IPPS
2007
IEEE
15 years 10 months ago
2007
IEEE
Storing data in distributed systems aims to offer higher bandwidth and scalability than storing locally. But, a couple of disadvantageous issues must be taken into account such as...