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ICML
2007
IEEE
16 years 6 months ago
On one method of non-diagonal regularization in sparse Bayesian learning
In the paper we propose a new type of regularization procedure for training sparse Bayesian methods for classification. Transforming Hessian matrix of log-likelihood function to d...
Dmitry Kropotov, Dmitry Vetrov
ICML
2008
IEEE
16 years 6 months ago
Composite kernel learning
The Support Vector Machine (SVM) is an acknowledged powerful tool for building classifiers, but it lacks flexibility, in the sense that the kernel is chosen prior to learning. Mul...
Marie Szafranski, Yves Grandvalet, Alain Rakotomam...
ICML
1998
IEEE
16 years 6 months ago
Employing EM and Pool-Based Active Learning for Text Classification
This paper shows how a text classifier's need for labeled training documents can be reduced by taking advantage of a large pool of unlabeled documents. We modify the Query-by...
Andrew McCallum, Kamal Nigam
ISBI
2008
IEEE
16 years 6 months ago
Segmentation of 4D MR renography images using temporal dynamics in a level set framework
A novel 4D level set framework was developed to segment dynamic MR images into the cortex, medulla and collecting system. The novelty of the method is that it combines information...
Ting Song, Vivian S. Lee, Henry Rusinek, Qun Chen,...
130
Voted
WWW
2009
ACM
16 years 6 months ago
Graph based crawler seed selection
This paper identifies and explores the problem of seed selection in a web-scale crawler. We argue that seed selection is not a trivial but very important problem. Selecting proper...
Shuyi Zheng, Pavel Dmitriev, C. Lee Giles