1175 search results - page 60 / 235 » Experimental perspectives on learning from imbalanced data |
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ML
2000
ACM
14 years 9 months ago
2000
ACM
This paper shows that the accuracy of learned text classifiers can be improved by augmenting a small number of labeled training documents with a large pool of unlabeled documents. ...
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ICMCS
2008
IEEE
15 years 4 months ago
2008
IEEE
Several stochastic models provide an effective framework to identify the temporal structure of audiovisual data. Most of them need as input a first video structure, i.e. connecti...
ICML
2004
IEEE
15 years 10 months ago
2004
IEEE
In many application domains there is a large amount of unlabeled data but only a very limited amount of labeled training data. One general approach that has been explored for util...
AB
2007
Springer
15 years 4 months ago
2007
Springer
What is systems biology? What can biologists gain from an attempt to algebraize the questions in systems biology? Starting with plausible biological theses, can one algebraically m...
ICTAI
2005
IEEE
15 years 3 months ago
2005
IEEE
Learning from noisy data is a challenging and reality issue for real-world data mining applications. Common practices include data cleansing, error detection and classifier ensemb...