3624 search results - page 243 / 725 » Learning to learn: From smart machines to intelligent machin... |
153
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ALT
2009
Springer
15 years 10 months ago
2009
Springer
Domain adaptation is a fundamental learning problem where one wishes to use labeled data from one or several source domains to learn a hypothesis performing well on a different, y...
327
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ROCAI
2004
Springer
16 years 17 hour ago
2004
Springer
We introduce a model class for statistical learning which is based on mixtures of propositional rules. In our mixture model, the weight of a rule is not uniform over the entire ins...
175
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DAGM
2003
Springer
15 years 12 months ago
2003
Springer
Compared to their ancestors in the early 1970s, present day computer games are of incredible complexity and show magnificent graphical performance. However, in programming intelli...
174
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IUI
2009
ACM
16 years 3 months ago
2009
ACM
Selection tasks are common in modern computer interfaces: we are often required to select a set of files, emails, data entries, and the like. File and data browsers have sorting a...
224
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ACML
2009
Springer
15 years 11 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...