2440 search results - page 260 / 488 » Learn .MT: A New Approach to Incremental Learning |
166
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KDD
2009
ACM
16 years 7 months ago
2009
ACM
We present novel semi-supervised boosting algorithms that incrementally build linear combinations of weak classifiers through generic functional gradient descent using both labele...
195
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ECML
2003
Springer
15 years 11 months ago
2003
Springer
Abstract. Tree induction methods and linear models are popular techniques for supervised learning tasks, both for the prediction of nominal classes and continuous numeric values. F...
156
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NIPS
2008
15 years 8 months ago
2008
We introduce a framework for actively learning visual categories from a mixture of weakly and strongly labeled image examples. We propose to allow the categorylearner to strategic...
185
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GECCO
2009
Springer
15 years 11 months ago
2009
Springer
We present a novel stereo vision modeling framework that generates approximate, yet physically-plausible representations of objects rather than creating accurate models that are c...
219
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GECCO
2009
Springer
15 years 11 months ago
2009
Springer
Nowadays, object recognition is widely studied under the paradigm of matching local features. This work describes a genetic programming methodology that synthesizes mathematical e...