4578 search results - page 698 / 916 » Learning from Multi-source Data |
164
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ICDM
2010
IEEE
15 years 4 months ago
2010
IEEE
Dataset shift from the training data in a source domain to the data in a target domain poses a great challenge for many statistical learning methods. Most algorithms can be viewed ...
162
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ICDM
2009
IEEE
15 years 4 months ago
2009
IEEE
Our goal is to automatically identify which species of bird is present in an audio recording using supervised learning. Devising effective algorithms for bird species classificati...
178
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KDD
2009
ACM
16 years 6 months ago
2009
ACM
One common predictive modeling challenge occurs in text mining problems is that the training data and the operational (testing) data are drawn from different underlying distributi...
187
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SOCO
2002
Springer
15 years 6 months ago
2002
Springer
A granular neural Web-based stock prediction agent is developed using the granular neural network (GNN) that can discover fuzzy rules. Stock data sets are downloaded from www.yahoo...
168
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CVPR
2006
IEEE
16 years 8 months ago
2006
IEEE
Ensemble methods such as bootstrap, bagging or boosting have had a considerable impact on recent developments in machine learning, pattern recognition and computer vision. Theoret...