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» Predictive Matrix-Variate t Models
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ILP
2005
Springer
15 years 10 months ago
Machine Learning for Systems Biology
In this paper we survey work being conducted at Imperial College on the use of machine learning to build Systems Biology models of the effects of toxins on biochemical pathways. Se...
Stephen Muggleton
ROCAI
2004
Springer
15 years 10 months ago
Learning Mixtures of Localized Rules by Maximizing the Area Under the ROC Curve
We introduce a model class for statistical learning which is based on mixtures of propositional rules. In our mixture model, the weight of a rule is not uniform over the entire ins...
Tobias Sing, Niko Beerenwinkel, Thomas Lengauer
CSDA
2008
128views more  CSDA 2008»
15 years 5 months ago
Classification tree analysis using TARGET
Tree models are valuable tools for predictive modeling and data mining. Traditional tree-growing methodologies such as CART are known to suffer from problems including greediness,...
J. Brian Gray, Guangzhe Fan
COGSCI
2002
103views more  COGSCI 2002»
15 years 4 months ago
Perceiving temporal regularity in music
We address how listeners perceive temporal regularity in music performances, which are rich in temporal irregularities. A computational model is described in which a small system ...
Edward W. Large, Caroline Palmer
ECCV
2006
Springer
16 years 7 months ago
Confocal Stereo
We present confocal stereo, a new method for computing 3D shape by controlling the focus and aperture of a lens. The method is specifically designed for reconstructing scenes with ...
Samuel W. Hasinoff, Kiriakos N. Kutulakos