297 search results - page 29 / 60 » Learning from Ambiguously Labeled Examples |
113
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CVPR
2008
IEEE
16 years 1 months ago
2008
IEEE
Active learning has been shown as a key technique for improving content-based image retrieval (CBIR) performance. Among various methods, support vector machine (SVM) active learni...
108
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NAACL
2010
14 years 9 months ago
2010
We present three approaches for unsupervised grammar induction that are sensitive to data complexity and apply them to Klein and Manning's Dependency Model with Valence. The ...
FOCS
2006
IEEE
15 years 5 months ago
2006
IEEE
Learning an unknown halfspace (also called a perceptron) from labeled examples is one of the classic problems in machine learning. In the noise-free case, when a halfspace consist...
ICPR
2000
IEEE
16 years 25 days ago
2000
IEEE
An important theoretical tool in machine learning is the bias/variance decomposition of the generalization error. It was introduced for the mean square error in [3]. The bias/vari...
110
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KDD
2010
ACM
15 years 1 months ago
2010
ACM
Active learning (AL) is an increasingly popular strategy for mitigating the amount of labeled data required to train classifiers, thereby reducing annotator effort. We describe ...