3668 search results - page 460 / 734 » Margin Distribution and Learning |
167
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JAIR
2006
15 years 6 months ago
2006
The most basic assumption used in statistical learning theory is that training data and test data are drawn from the same underlying distribution. Unfortunately, in many applicati...
143
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JMLR
2006
15 years 6 months ago
2006
In this work we consider the task of relaxing the i.i.d. assumption in pattern recognition (or classification), aiming to make existing learning algorithms applicable to a wider r...
195
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AAMAS
2004
Springer
15 years 6 months ago
2004
Springer
The development of the World Wide Web has changed the way we think about information. Information on the web is distributed, updates are made asynchronously and resources come onli...
209
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IJCV
2000
15 years 6 months ago
2000
We describe how to model the appearance of a 3-D object using multiple views, learn such a model from training images, and use the model for object recognition. The model uses pro...
189
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PKDD
2010
Springer
15 years 5 months ago
2010
Springer
In this paper we propose a Bayesian model for multi-task feature selection. This model is based on a generalized spike and slab sparse prior distribution that enforces the selectio...