4578 search results - page 181 / 916 » Learning from Multi-source Data |
96
Voted
ICML
2007
IEEE
16 years 2 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...
103
Voted
MCS
2004
Springer
15 years 7 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...
113
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ICDAR
2009
IEEE
15 years 8 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...
NIPS
2004
15 years 3 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...
105
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IJCNN
2007
IEEE
15 years 8 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...