7378 search results - page 445 / 1476 » Introduction to Machine Learning |
175
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ECML
2006
Springer
15 years 11 months ago
2006
Springer
Abstract. Active learning algorithms attempt to accelerate the learning process by requesting labels for the most informative items first. In real-world problems, however, there ma...
204
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COLT
2008
Springer
15 years 9 months ago
2008
Springer
We study the properties of the agnostic learning framework of Haussler [Hau92] and Kearns, Schapire and Sellie [KSS94]. In particular, we address the question: is there any situat...
182
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ECTEL
2010
Springer
15 years 6 months ago
2010
Springer
We investigate whether erroneous examples in the domain of fractions can help students learn from common errors of other students presented in a computer-based system. Presenting t...
214
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ICML
2009
IEEE
16 years 8 months ago
2009
IEEE
A new "herding" algorithm is proposed which directly converts observed moments into a sequence of pseudo-samples. The pseudosamples respect the moment constraints and ma...
184
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ICML
2009
IEEE
16 years 8 months ago
2009
IEEE
This work proposes a learning method for deep architectures that takes advantage of sequential data, in particular from the temporal coherence that naturally exists in unlabeled v...