1364 search results - page 180 / 273 » Sampling Methods for Unsupervised Learning |
124
click to vote
BMCBI
2007
15 years 2 months ago
2007
Background: Microarrays have become extremely useful for analysing genetic phenomena, but establishing a relation between microarray analysis results (typically a list of genes) a...
123
click to vote
CORR
2004
Springer
15 years 2 months ago
2004
Springer
: The collection of wild larvae seed as a source of raw material is a major sub industry of shellfish aquaculture. To predict when, where and in what quantities wild seed will be a...
149
click to vote
BMCBI
2004
15 years 2 months ago
2004
Background: A routine goal in the analysis of microarray data is to identify genes with expression levels that correlate with known classes of experiments. In a growing number of ...
131
click to vote
AMAI
2004
Springer
15 years 7 months ago
2004
Springer
Learning the parameters (conditional and marginal probabilities) from a data set is a common method of building a belief network. Consider the situation where we have known graph s...
137
click to vote
IJON
2007
15 years 2 months ago
2007
Unlike the conventional neural network theories and implementations, Huang et al. [Universal approximation using incremental constructive feedforward networks with random hidden n...