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EJASP
2010
133views more  EJASP 2010»
14 years 4 months ago
Improving Density Estimation by Incorporating Spatial Information
Given discrete event data, we wish to produce a probability density that can model the relative probability of events occurring in a spatial region. Common methods of density esti...
Laura M. Smith, Matthew S. Keegan, Todd Wittman, G...
NIPS
2000
14 years 11 months ago
Kernel Expansions with Unlabeled Examples
Modern classification applications necessitate supplementing the few available labeled examples with unlabeled examples to improve classification performance. We present a new tra...
Martin Szummer, Tommi Jaakkola
CSDA
2008
89views more  CSDA 2008»
14 years 9 months ago
Projection density estimation under a m-sample semiparametric model
An m-sample semiparametric model in which the ratio of m - 1 probability density functions with respect to the mth is of a known parametric form without reference to any parametri...
Jean-Baptiste Aubin, Samuela Leoni-Aubin
MICCAI
2010
Springer
14 years 7 months ago
Tract-Based Probability Densities of Diffusivity Measures in DT-MRI
We evaluate probability density functions of diffusivity measures in DTI fiber tracts as biomarkers. For this, we estimate univariate and bivariate densities, such as joint probabi...
Çagatay Demiralp, David H. Laidlaw
ICML
1998
IEEE
15 years 10 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