1419 search results - page 114 / 284 » Approximation Methods for Supervised Learning |
109
Voted
PAMI
2006
15 years 14 days ago
2006
Multiple-instance problems arise from the situations where training class labels are attached to sets of samples (named bags), instead of individual samples within each bag (called...
139
Voted
JMLR
2012
13 years 3 months ago
2012
Open-text semantic parsers are designed to interpret any statement in natural language by inferring a corresponding meaning representation (MR – a formal representation of its s...
61
Voted
COLING
2010
14 years 7 months ago
2010
While extensive studies on relation extraction have been conducted in the last decade, statistical systems based on supervised learning are still limited because they require larg...
123
Voted
CVPR
2009
IEEE
16 years 7 months ago
2009
IEEE
Several recently-proposed architectures for highperformance
object recognition are composed of two main
stages: a feature extraction stage that extracts locallyinvariant
feature...
112
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IJCAI
2003
15 years 1 months ago
2003
Bayesian network models are widely used for discriminative prediction tasks such as classification. Usually their parameters are determined using 'unsupervised' methods ...