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NIPS
2008
13 years 10 months ago
Posterior Consistency of the Silverman g-prior in Bayesian Model Choice
Kernel supervised learning methods can be unified by utilizing the tools from regularization theory. The duality between regularization and prior leads to interpreting regularizat...
Zhihua Zhang, Michael I. Jordan, Dit-Yan Yeung
JMLR
2006
143views more  JMLR 2006»
13 years 8 months ago
Consistency and Convergence Rates of One-Class SVMs and Related Algorithms
We determine the asymptotic behaviour of the function computed by support vector machines (SVM) and related algorithms that minimize a regularized empirical convex loss function i...
Régis Vert, Jean-Philippe Vert
PODS
2007
ACM
171views Database» more  PODS 2007»
14 years 9 months ago
The complexity of reasoning about pattern-based XML schemas
In a recent paper, Martens et al. introduced a specification mechanism for XML tree languages, based on rules of the form r s, where r, s are regular expressions. Sets of such ru...
Gjergji Kasneci, Thomas Schwentick
ECCV
2008
Springer
14 years 10 months ago
Local Regularization for Multiclass Classification Facing Significant Intraclass Variations
We propose a new local learning scheme that is based on the principle of decisiveness: the learned classifier is expected to exhibit large variability in the direction of the test ...
Lior Wolf, Yoni Donner
TIP
2008
104views more  TIP 2008»
13 years 8 months ago
A Fast Thresholded Landweber Algorithm for Wavelet-Regularized Multidimensional Deconvolution
We present a fast variational deconvolution algorithm that minimizes a quadratic data term subject to a regularization on the 1 -norm of the wavelet coefficients of the solution. ...
Cédric Vonesch, Michael Unser