90 search results - page 4 / 18 » Random Feature Subset Selection for Analysis of Data with Mi... |
AAAI
2008
13 years 9 months ago
2008
In multi-robot settings, activity recognition allows a robot to respond intelligently to the other robots in its environment. Conditional random fields are temporal models that ar...
BMCBI
2008
13 years 7 months ago
2008
Background: Metabolomics, or metabonomics, refers to the quantitative analysis of all metabolites present within a biological sample and is generally carried out using NMR spectro...
UAI
2004
13 years 8 months ago
2004
Suppose that the only available information in a multi-class problem are expert estimates of the conditional probabilities of occurrence for a set of binary features. The aim is t...
SDM
2010
SIAM
13 years 9 months ago
2010
SIAM
We present Confidence-based Feature Acquisition (CFA), a novel supervised learning method for acquiring missing feature values when there is missing data at both training and test...
IDA
2007
Springer
14 years 1 months ago
2007
Springer
Random forests are one of the best performing methods for constructing ensembles. They derive their strength from two aspects: using random subsamples of the training data (as in b...