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NIPS
2007
13 years 9 months ago
Regularized Boost for Semi-Supervised Learning
Semi-supervised inductive learning concerns how to learn a decision rule from a data set containing both labeled and unlabeled data. Several boosting algorithms have been extended...
Ke Chen 0001, Shihai Wang
COLT
2006
Springer
13 years 11 months ago
Maximum Entropy Distribution Estimation with Generalized Regularization
Abstract. We present a unified and complete account of maximum entropy distribution estimation subject to constraints represented by convex potential functions or, alternatively, b...
Miroslav Dudík, Robert E. Schapire
MICCAI
2010
Springer
13 years 6 months ago
Spatially Regularized SVM for the Detection of Brain Areas Associated with Stroke Outcome
Abstract. This paper introduces a new method to detect group differences in brain images based on spatially regularized support vector machines (SVM). First, we propose to spatial...
Rémi Cuingnet, Charlotte Rosso, Stép...
AFRICACRYPT
2009
Springer
14 years 22 days ago
Exponent Recoding and Regular Exponentiation Algorithms
This paper describes methods of recoding exponents to allow for regular implementations of m-ary exponentiation algorithms. Recoding algorithms previously proposed in the literatur...
Marc Joye, Michael Tunstall
ECCV
2008
Springer
14 years 10 months ago
Regular Texture Analysis as Statistical Model Selection
An approach to the analysis of images of regular texture is proposed in which lattice hypotheses are used to define statistical models. These models are then compared in terms of t...
Junwei Han, Stephen J. McKenna, Ruixuan Wang