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UAI
2003
15 years 8 months ago
On Information Regularization
We formulate a principle for classification with the knowledge of the marginal distribution over the data points (unlabeled data). The principle is cast in terms of Tikhonov styl...
Adrian Corduneanu, Tommi Jaakkola
NIPS
2003
15 years 8 months ago
Kernel Dimensionality Reduction for Supervised Learning
We propose a novel method of dimensionality reduction for supervised learning. Given a regression or classification problem in which we wish to predict a variable Y from an expla...
Kenji Fukumizu, Francis R. Bach, Michael I. Jordan
MOC
2000
104views more  MOC 2000»
15 years 6 months ago
A domain embedding preconditioner for the Lagrange multiplier system
Abstract. Finite element approximations for the Dirichlet problem associated to a second
Einar Haug, Ragnar Winther
SIAMCO
2008
81views more  SIAMCO 2008»
15 years 5 months ago
Carleman Estimates for a Class of Degenerate Parabolic Operators
Given [0, 2) and f L2((0, T)
Patrick Cannarsa, Patrick Martinez, Judith Vancost...
IJCNN
2006
IEEE
16 years 18 days ago
A Variational EM Approach to Predicting Uncertainty in Supervised Learning
— In many applications of supervised learning, the conditional average of the target variables is not sufficient for prediction. The dependencies between the explanatory variabl...
Markus Harva