8970 search results - page 319 / 1794 » Learning to Learn Causal Models |
191
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ICANN
2009
Springer
16 years 1 months ago
2009
Springer
Abstract. Modeling the statistical structure of natural images is interesting for reasons related to neuroscience as well as engineering. Currently, this modeling relies heavily on...
140
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SETN
2004
Springer
16 years 3 days ago
2004
Springer
In this paper we propose an automatic mechanism for annotating XML documents. This mechanism relies on a simple data model whose main features are: (1) a modeling of XML documents ...
154
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NIPS
2004
15 years 8 months ago
2004
We present a probabilistic approach to learning a Gaussian Process classifier in the presence of unlabeled data. Our approach involves a "null category noise model" (NCN...
181
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ICML
2004
IEEE
16 years 7 months ago
2004
IEEE
Traditional non-parametric statistical learning techniques are often computationally attractive, but lack the same generalization and model selection abilities as state-of-the-art...
148
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ML
2006
ACM
15 years 6 months ago
2006
ACM
It is well known that many hard tasks considered in machine learning and data mining can be solved in a rather simple and robust way with an instanceand distance-based approach. In...