3668 search results - page 200 / 734 » Margin Distribution and Learning |
195
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NIPS
2000
15 years 8 months ago
2000
Recent work has exploited boundedness of data in the unsupervised learning of new types of generative model. For nonnegative data it was recently shown that the maximum-entropy ge...
203
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FOCS
2009
IEEE
15 years 5 months ago
2009
IEEE
We give a new model of learning motivated by smoothed analysis (Spielman and Teng, 2001). In this model, we analyze two new algorithms, for PAC-learning DNFs and agnostically learn...
203
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ICML
2007
IEEE
16 years 8 months ago
2007
IEEE
The supremacy of n-gram models in statistical language modelling has recently been challenged by parametric models that use distributed representations to counteract the difficult...
215
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TCS
2011
15 years 2 months ago
2011
The PAC-learning model is distribution-independent in the sense that the learner must reach a learning goal with a limited number of labeled random examples without any prior know...
207
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ECTEL
2007
Springer
16 years 1 months ago
2007
Springer
Blogs have the aordance to become an integral part of teaching and learning processes as a vehicle for knowledge management. Open, exible systems integrating blogs provide user-f...