2036 search results - page 49 / 408 » From Sampling to Model Counting |
126
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SDM
2012
SIAM
13 years 3 months ago
2012
SIAM
The focus of this paper is on how to select a small sample of examples for labeling that can help us to evaluate many different classification models unknown at the time of sampl...
ICML
2004
IEEE
16 years 2 months ago
2004
IEEE
Classifier learning methods commonly assume that the training data consist of randomly drawn examples from the same distribution as the test examples about which the learned model...
BMVC
2010
14 years 11 months ago
2010
RANSAC (Random Sample Consensus) is a popular and effective technique for estimating model parameters in the presence of outliers. Efficient algorithms are necessary for both fram...
102
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IC
2003
15 years 2 months ago
2003
Abstract— In this paper, we develop methods to “sample” a large real network into a small realistic graph. Although topology modeling has received a lot attention lately, it ...
CORR
2010
Springer
15 years 1 months ago
2010
Springer
We consider minimal-rate sampling schemes for streams of delayed and weighted versions of a known pulse shape. Such signals belong to the class of finite rate of innovation (FRI) m...