3381 search results - page 375 / 677 » LEO - DB2's LEarning Optimizer |
151
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ICASSP
2010
IEEE
15 years 6 months ago
2010
IEEE
Signal Sequence Labeling consists in predicting a sequence of labels given an observed sequence of samples. A naive way is to filter the signal in order to reduce the noise and t...
193
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CORR
2010
Springer
15 years 6 months ago
2010
Springer
Adaptive sparse coding methods learn a possibly overcomplete set of basis functions, such that natural image patches can be reconstructed by linearly combining a small subset of t...
163
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ML
2010
ACM
15 years 5 months ago
2010
ACM
When only a small number of labeled samples are available, supervised dimensionality reduction methods tend to perform poorly due to overfitting. In such cases, unlabeled samples ...
256
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KDD
2012
ACM
13 years 9 months ago
2012
ACM
Multi-instance multi-label learning (MIML) is a framework for supervised classification where the objects to be classified are bags of instances associated with multiple labels....
191
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ICML
2002
IEEE
16 years 7 months ago
2002
IEEE
Kernel-based learning algorithms work by embedding the data into a Euclidean space, and then searching for linear relations among the embedded data points. The embedding is perfor...