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» Prediction on Spike Data Using Kernel Algorithms
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KDD
2010
ACM
190views Data Mining» more  KDD 2010»
14 years 29 days ago
User browsing models: relevance versus examination
There has been considerable work on user browsing models for search engine results, both organic and sponsored. The click-through rate (CTR) of a result is the product of the prob...
Ramakrishnan Srikant, Sugato Basu, Ni Wang, Daryl ...
MICCAI
2003
Springer
14 years 10 months ago
Geostatistical Medical Image Registration
Abstract. We propose a novel approach to landmark-based medical image registration based on the geostatical method of Kriging prediction. Our method exploits the spatial statistica...
Carl-Fredrik Westin, Carlos Alberola-López,...
ICML
2005
IEEE
14 years 10 months ago
Unsupervised evidence integration
Many biological propositions can be supported by a variety of different types of evidence. It is often useful to collect together large numbers of such propositions, together with...
Philip M. Long, Vinay Varadan, Sarah Gilman, Mark ...
SIBGRAPI
2008
IEEE
14 years 3 months ago
Bayesian Estimation of Hyperparameters in MRI through the Maximum Evidence Method
Bayesian inference methods are commonly applied to the classification of brain Magnetic Resonance images (MRI). We use the Maximum Evidence (ME) approach to estimate the most prob...
Damian E. Oliva, Roberto A. Isoardi, Germán...
ADMI
2010
Springer
13 years 10 months ago
Probabilistic Modeling of Mobile Agents' Trajectories
Abstract. We present a method for learning characteristic motion patterns of mobile agents. The method works on two levels. On the first level, it uses the expectation-maximization...
Stepán Urban, Michal Jakob, Michal Pechouce...