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» Selectivity Estimation using Probabilistic Models
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ICML
2007
IEEE
16 years 19 days ago
Sparse probabilistic classifiers
The scores returned by support vector machines are often used as a confidence measures in the classification of new examples. However, there is no theoretical argument sustaining ...
Romain Hérault, Yves Grandvalet
45
Voted
CDC
2009
IEEE
143views Control Systems» more  CDC 2009»
15 years 3 months ago
Identification of Probability weighted multiple ARX models and its application to behavior analysis
This paper proposes a Probability weighted ARX (PrARX) model wherein the multiple ARX models are composed by the probabilistic weighting functions. As the probabilistic weighting f...
Shun Taguchi, Tatsuya Suzuki, Soichiro Hayakawa, S...
IJON
2007
104views more  IJON 2007»
14 years 11 months ago
A probabilistic model of eye movements in concept formation
It has been unclear whether optimal experimental design accounts of data selection may offer insight into evidence acquisition tasks in which the learner’s beliefs change greatl...
Jonathan D. Nelson, Garrison W. Cottrell
PAM
2010
Springer
15 years 1 months ago
A Probabilistic Population Study of the Conficker-C Botnet
We estimate the number of active machines per hour infected with the Conficker-C worm, using a probability model of Conficker-C's UDP P2P scanning behavior. For an observer wi...
Rhiannon Weaver
ICCV
2011
IEEE
13 years 12 months ago
Robust Object Pose Estimation via Statistical Manifold Modeling
We propose a novel statistical manifold modeling approach that is capable of classifying poses of object categories from video sequences by simultaneously minimizing the intra-cla...
Liang Mei, Jingen Liu, Alfred Hero, Silvio Savares...