1859 search results - page 179 / 372 » Using Problems to Learn Service-Oriented Computing |
156
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ICML
2006
IEEE
16 years 7 months ago
2006
IEEE
When given a small sample, we show that classification with SVM can be considerably enhanced by using a kernel function learned from the training data prior to discrimination. Thi...
191
Voted
ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
Graph-based methods for semi-supervised learning have recently been shown to be promising for combining labeled and unlabeled data in classification problems. However, inference f...
183
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GRC
2010
IEEE
15 years 7 months ago
2010
IEEE
Inference of latent variables from complicated data is one important problem in data mining. The high dimensionality and high complexity of real world data often make accurate infe...
169
Voted
ICCV
2009
IEEE
16 years 11 months ago
2009
IEEE
Random Forests (RFs) have become commonplace
in many computer vision applications. Their
popularity is mainly driven by their high computational
efficiency during both training ...
172
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ICPR
2000
IEEE
16 years 7 months ago
2000
IEEE
Multi-valued neurons are the neural processing elements with complex-valued weights, huge functionality (it is possible to implement on the single neuron arbitrary mapping describ...