15317 search results - page 2658 / 3064 » Globally Distributed Data |
180
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ICML
2006
IEEE
16 years 7 months ago
2006
IEEE
In recent years, there has been a proliferation of theoretical graph models, e.g., preferential attachment and small-world models, motivated by real-world graphs such as the Inter...
162
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ICML
2006
IEEE
16 years 7 months ago
2006
IEEE
When constructing a classifier from labeled data, it is important not to assign too much weight to any single input feature, in order to increase the robustness of the classifier....
182
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ICML
2006
IEEE
16 years 7 months ago
2006
IEEE
Boosting methods are known not to usually overfit training data even as the size of the generated classifiers becomes large. Schapire et al. attempted to explain this phenomenon i...
172
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ICML
2002
IEEE
16 years 7 months ago
2002
IEEE
The naive classifier is a well-established mathematical model whose simplicity, speed and accuracy have made it a popular choice for classification in AI and engineering. In this ...
211
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ICML
2000
IEEE
16 years 7 months ago
2000
IEEE
Hidden Markov models (HMMs) are a powerful probabilistic tool for modeling sequential data, and have been applied with success to many text-related tasks, such as part-of-speech t...