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110
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ICALT
2008
IEEE
15 years 10 months ago
2008
IEEE
Although the notion of generality is central in mathematics and science, being able to identify and express general patterns and/or articulating structures is one of the main difï...
153
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COLT
2000
Springer
15 years 8 months ago
2000
Springer
The present paper deals with the averagecase complexity of various algorithms for learning univariate polynomials. For this purpose an appropriate framework is introduced. Based o...
146
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ECML
1997
Springer
15 years 8 months ago
1997
Springer
In learning from examples it is often useful to expand an attribute-vector representation by intermediate concepts. The usual advantage of such structuring of the learning problemi...
157
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ICML
2010
IEEE
15 years 5 months ago
2010
IEEE
Learning undirected graphical models such as Markov random fields is an important machine learning task with applications in many domains. Since it is usually intractable to learn...
126
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ECML
2004
Springer
15 years 9 months ago
2004
Springer
We report on new experiments with machine learning in the reconstruction of human sub-cognitive skill. The particular problem considered is to generate a clone of a human pilot per...