5595 search results - page 915 / 1119 » Approximation Algorithms for Clustering Problems |
167
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KDD
2004
ACM
16 years 6 months ago
2004
ACM
There has historically been very little concern with extrapolation in Machine Learning, yet extrapolation can be critical to diagnose. Predictor functions are almost always learne...
161
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CSB
2003
IEEE
15 years 11 months ago
2003
IEEE
Reverse-engineering of gene networks using linear models often results in an underdetermined system because of excessive unknown parameters. In addition, the practical utility of ...
181
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KDD
2010
ACM
15 years 10 months ago
2010
ACM
Periodicity is a frequently happening phenomenon for moving objects. Finding periodic behaviors is essential to understanding object movements. However, periodic behaviors could b...
180
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SIROCCO
2008
15 years 7 months ago
2008
The augmented graph model, as introduced by Kleinberg (STOC 2000), is an appealing model for analyzing navigability in social networks. Informally, this model is defined by a pair...
181
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BMCBI
2010
15 years 6 months ago
2010
Background: Machine learning techniques have shown to improve bacterial species classification based on fatty acid methyl ester (FAME) data. Nonetheless, FAME analysis has a limit...