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» A General Model for Multiple View Unsupervised Learning
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JMLR
2010
106views more  JMLR 2010»
13 years 2 months ago
Why Does Unsupervised Pre-training Help Deep Learning?
Much recent research has been devoted to learning algorithms for deep architectures such as Deep Belief Networks and stacks of auto-encoder variants, with impressive results obtai...
Dumitru Erhan, Yoshua Bengio, Aaron C. Courville, ...
ICML
2007
IEEE
14 years 8 months ago
Spectral clustering and transductive learning with multiple views
We consider spectral clustering and transductive inference for data with multiple views. A typical example is the web, which can be described by either the hyperlinks between web ...
Dengyong Zhou, Christopher J. C. Burges
NPL
2010
135views more  NPL 2010»
13 years 6 months ago
A Novel Regularization Learning for Single-View Patterns: Multi-View Discriminative Regularization
The existing Multi-View Learning (MVL) is to discuss how to learn from patterns with multiple information sources and has been proven its superior generalization to the usual Sing...
Zhe Wang, Songcan Chen, Hui Xue, Zhisong Pan
FLAIRS
2004
13 years 9 months ago
A Faster Algorithm for Generalized Multiple-Instance Learning
In our prior work, we introduced a generalization of the multiple-instance learning (MIL) model in which a bag's label is not based on a single instance's proximity to a...
Qingping Tao, Stephen D. Scott
EMNLP
2008
13 years 9 months ago
Unsupervised Multilingual Learning for POS Tagging
We demonstrate the effectiveness of multilingual learning for unsupervised part-of-speech tagging. The key hypothesis of multilingual learning is that by combining cues from multi...
Benjamin Snyder, Tahira Naseem, Jacob Eisenstein, ...