48 search results - page 9 / 10 » Learning a complex metabolomic dataset using random forests ... |
TOG
2008
13 years 5 months ago
2008
Humans usually associate an upright orientation with objects, placing them in a way that they are most commonly seen in our surroundings. While it is an open challenge to recover ...
ICDM
2008
IEEE
13 years 11 months ago
2008
IEEE
Supervised approaches to Data Mining are particularly appealing as they allow for the extraction of complex relations from data objects. In order to facilitate their application i...
IJCAI
2007
13 years 6 months ago
2007
Recently, significant progress has been made on learning structured predictors via coordinated training algorithms such as conditional random fields and maximum margin Markov ne...
IJON
2006
13 years 5 months ago
2006
Non-stationary signal classification is a complex problem. This problem becomes even more difficult if we add the following hypothesis: each signal includes a discriminant wavefor...
BMCBI
2007
13 years 5 months ago
2007
Background: Classification studies using gene expression datasets are usually based on small numbers of samples and tens of thousands of genes. The selection of those genes that a...