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» Rademacher and Gaussian Complexities: Risk Bounds and Struct...
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PR
2011
12 years 8 months ago
A novel multi-view learning developed from single-view patterns
The existing Multi-View Learning (MVL) learns how to process patterns with multiple information sources. In generalization this MVL is proven to have a significant advantage over...
Zhe Wang, Songcan Chen, Daqi Gao
IJDMB
2010
216views more  IJDMB 2010»
13 years 3 months ago
Struct-NB: predicting protein-RNA binding sites using structural features
: We explore whether protein-RNA interfaces differ from non-interfaces in terms of their structural features and whether structural features vary according to the type of the bound...
Fadi Towfic, Cornelia Caragea, David C. Gemperline...
NIPS
2008
13 years 6 months ago
Automatic online tuning for fast Gaussian summation
Many machine learning algorithms require the summation of Gaussian kernel functions, an expensive operation if implemented straightforwardly. Several methods have been proposed to...
Vlad I. Morariu, Balaji Vasan Srinivasan, Vikas C....
MP
2007
95views more  MP 2007»
13 years 5 months ago
Smoothed analysis of integer programming
We present a probabilistic analysis of integer linear programs (ILPs). More specifically, we study ILPs in a so-called smoothed analysis in which it is assumed that first an adve...
Heiko Röglin, Berthold Vöcking
UAI
2003
13 years 6 months ago
Bayesian Hierarchical Mixtures of Experts
The Hierarchical Mixture of Experts (HME) is a well-known tree-structured model for regression and classification, based on soft probabilistic splits of the input space. In its o...
Christopher M. Bishop, Markus Svensén