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NIPS
2008
15 years 8 months ago
Bayesian Experimental Design of Magnetic Resonance Imaging Sequences
We show how improved sequences for magnetic resonance imaging can be found through optimization of Bayesian design scores. Combining approximate Bayesian inference and natural ima...
Matthias W. Seeger, Hannes Nickisch, Rolf Pohmann,...
ICHIT
2009
Springer
16 years 1 months ago
An efficient algorithm for AS path inferring
Discovering the AS paths between two ASes are invaluable for a wide area of network research and application activities. The traditional techniques for path discovery require dire...
Guoqiang Yang, Wenhua Dou
AUSAI
2004
Springer
15 years 12 months ago
MML Inference of Oblique Decision Trees
We propose a multivariate decision tree inference scheme by using the minimum message length (MML) principle (Wallace and Boulton, 1968; Wallace and Dowe, 1999). The scheme uses MM...
Peter J. Tan, David L. Dowe
AAAI
2000
15 years 7 months ago
Modeling Classification and Inference Learning
Human categorization research is dominated by work in classification learning. The field may be in danger of equating the classification learning paradigm with the more general ph...
Bradley C. Love, Arthur B. Markman, Takashi Yamauc...
JMLR
2010
132views more  JMLR 2010»
15 years 1 months ago
Learning Gradients: Predictive Models that Infer Geometry and Statistical Dependence
The problems of dimension reduction and inference of statistical dependence are addressed by the modeling framework of learning gradients. The models we propose hold for Euclidean...
Qiang Wu, Justin Guinney, Mauro Maggioni, Sayan Mu...