1364 search results - page 9 / 273 » Sampling Methods for Unsupervised Learning |
BMCBI
2010
14 years 11 months ago
2010
Background: Sequencing of environmental DNA (often called metagenomics) has shown tremendous potential to uncover the vast number of unknown microbes that cannot be cultured and s...
124
Voted
DAGM
2011
Springer
13 years 10 months ago
2011
Springer
Many unsupervised learning algorithms make use of kernels that rely on the Euclidean distance between two samples. However, the Euclidean distance is optimal for Gaussian distribut...
75
Voted
MLDM
2009
Springer
15 years 5 months ago
2009
Springer
In two-class score-based problems the combination of scores from an ensemble of experts is generally used to obtain distributions for positive and negative patterns that exhibit a ...
COLING
2010
14 years 5 months ago
2010
We conduct a series of Part-of-Speech (POS) Tagging experiments using Expectation Maximization (EM), Variational Bayes (VB) and Gibbs Sampling (GS) against the Chinese Penn Treeba...
102
Voted
JMLR
2002
14 years 10 months ago
2002
We examine the learning-curve sampling method, an approach for applying machinelearning algorithms to large data sets. The approach is based on the observation that the computatio...