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ICML
2010
IEEE
13 years 8 months ago
SVM Classifier Estimation from Group Probabilities
A learning problem that has only recently gained attention in the machine learning community is that of learning a classifier from group probabilities. It is a learning task that ...
Stefan Rüping
ML
2010
ACM
13 years 6 months ago
Semi-supervised local Fisher discriminant analysis for dimensionality reduction
When only a small number of labeled samples are available, supervised dimensionality reduction methods tend to perform poorly due to overfitting. In such cases, unlabeled samples ...
Masashi Sugiyama, Tsuyoshi Idé, Shinichi Na...
NAACL
2010
13 years 5 months ago
Extracting Glosses to Disambiguate Word Senses
Like most natural language disambiguation tasks, word sense disambiguation (WSD) requires world knowledge for accurate predictions. Several proxies for this knowledge have been in...
Weisi Duan, Alexander Yates
AMC
2011
12 years 11 months ago
Large correlation analysis
:In this paper, a novel supervised dimensionality reduction method is developed based on both the correlation analysis and the idea of large margin learning. The method aims to m...
Xiaohong Chen, Songcan Chen, Hui Xue
ICASSP
2009
IEEE
14 years 2 months ago
Combining discriminative re-ranking and co-training for parsing Mandarin speech transcripts
Discriminative reranking has been able to significantly improve parsing performance, and co-training has proven to be an effective weakly supervised learning algorithm to bootstr...
Wen Wang