1880 search results - page 53 / 376 » Robust Learning - Rich and Poor |
127
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AAAI
2008
15 years 4 months ago
2008
Classification of texts potentially containing a complex and specific terminology requires the use of learning methods that do not rely on extensive feature engineering. In this w...
106
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CVPR
2007
IEEE
16 years 3 months ago
2007
IEEE
A well-built dataset is a necessary starting point for advanced computer vision research. It plays a crucial role in evaluation and provides a continuous challenge to stateof-the-...
109
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PR
2006
15 years 1 months ago
2006
In this paper, we discuss the influence of feature vectors contributions at each learning time t on a sequential-type competitive learning algorithm. We then give a learning rate ...
99
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ICML
2003
IEEE
16 years 2 months ago
2003
IEEE
We show a close relationship between the Expectation - Maximization (EM) algorithm and direct optimization algorithms such as gradientbased methods for parameter learning. We iden...
116
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ICANN
2005
Springer
15 years 7 months ago
2005
Springer
A common assumption in supervised learning is that the training and test input points follow the same probability distribution. However, this assumption is not fulfilled, e.g., in...