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BMCBI
2010
178views more  BMCBI 2010»
14 years 12 months ago
Selecting high-dimensional mixed graphical models using minimal AIC or BIC forests
Background: Chow and Liu showed that the maximum likelihood tree for multivariate discrete distributions may be found using a maximum weight spanning tree algorithm, for example K...
David Edwards, Gabriel C. G. de Abreu, Rodrigo Lab...
AAAI
2012
13 years 2 months ago
Width and Complexity of Belief Tracking in Non-Deterministic Conformant and Contingent Planning
It has been shown recently that the complexity of belief tracking in deterministic conformant and contingent planning is exponential in a width parameter that is often bounded and...
Blai Bonet, Hector Geffner
ISNN
2005
Springer
15 years 5 months ago
Multiple Parameter Selection for LS-SVM Using Smooth Leave-One-Out Error
In least squares support vector (LS-SVM), the key challenge lies in the selection of free parameters such as kernel parameters and tradeoff parameter. However, when a large number ...
Liefeng Bo, Ling Wang, Licheng Jiao
ML
2002
ACM
121views Machine Learning» more  ML 2002»
14 years 11 months ago
Choosing Multiple Parameters for Support Vector Machines
The problem of automatically tuning multiple parameters for pattern recognition Support Vector Machines (SVMs) is considered. This is done by minimizing some estimates of the gener...
Olivier Chapelle, Vladimir Vapnik, Olivier Bousque...
HYBRID
2007
Springer
15 years 6 months ago
Model Checking Genetic Regulatory Networks with Parameter Uncertainty
The lack of precise numerical information for the values of biological parameters severely limits the development and analysis of models of genetic regulatory networks. To deal wit...
Grégory Batt, Calin Belta, Ron Weiss