4591 search results - page 171 / 919 » Learning from Dyadic Data |
121
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ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
Traditional machine learning makes a basic assumption: the training and test data should be under the same distribution. However, in many cases, this identicaldistribution assumpt...
117
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MCS
2004
Springer
15 years 9 months ago
2004
Springer
An ensemble of classifiers based algorithm, Learn++, was recently introduced that is capable of incrementally learning new information from datasets that consecutively become avail...
132
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ICDAR
2009
IEEE
15 years 11 months ago
2009
IEEE
In this paper, we present a new incremental learning strategy for handwritten character recognition systems. This learning strategy enables the recognition system to learn “rapi...
117
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NIPS
2004
15 years 5 months ago
2004
We claim and present arguments to the effect that a large class of manifold learning algorithms that are essentially local and can be framed as kernel learning algorithms will suf...
122
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IJCNN
2007
IEEE
15 years 10 months ago
2007
IEEE
— Most research in machine learning focuses on scenarios in which a learner faces a single learning task, independently of other learning tasks or prior knowledge. In reality, ho...