2157 search results - page 222 / 432 » Learning Switching Concepts |
202
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ACML
2009
Springer
15 years 10 months ago
2009
Springer
A fundamental assumption for any machine learning task is to have training and test data instances drawn from the same distribution while having a sufficiently large number of tra...
163
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GECCO
2009
Springer
15 years 10 months ago
2009
Springer
Radiologists disagree with each other over the characteristics and features of what constitutes a normal mammogram and the terminology to use in the associated radiology report. R...
158
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EUROCOLT
1995
Springer
15 years 9 months ago
1995
Springer
Limiting identification of r.e. indexes for r.e. languages (from a presentation of elements of the language) and limiting identification of programs for computable functions (fr...
169
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AAAI
2007
15 years 8 months ago
2007
Transfer learning is the ability of an agent to apply knowledge learned in previous tasks to new problems or domains. We approach this problem by focusing on model formulation, i....
154
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NIPS
1998
15 years 7 months ago
1998
There has been much recent work on measuring image statistics and on learning probability distributions on images. We observe that the mapping from images to statistics is many-to...