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» Structured Prediction with Relative Margin
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NIPS
2007
13 years 10 months ago
The Generalized FITC Approximation
We present an efficient generalization of the sparse pseudo-input Gaussian process (SPGP) model developed by Snelson and Ghahramani [1], applying it to binary classification pro...
Andrew Naish-Guzman, Sean B. Holden
EOR
2006
86views more  EOR 2006»
13 years 8 months ago
Minimum-distance controlled perturbation methods for large-scale tabular data protection
National Statistical Agencies routinely release large amounts of tabular information. Prior to dissemination, tabular data needs to be processed to avoid the disclosure of individ...
Jordi Castro
MA
2010
Springer
85views Communications» more  MA 2010»
13 years 3 months ago
Tail dependence functions and vine copulas
Tail dependence and conditional tail dependence functions describe, respectively, the tail probabilities and conditional tail probabilities of a copula at various relative scales....
Harry Joe, Haijun Li, Aristidis K. Nikoloulopoulos
CIKM
2009
Springer
14 years 3 months ago
Linear predictive coding representation of correlated mutation for protein sequence alignment
Background: Although both conservation and correlated mutation (CM) are important information reflecting the different sorts of context in multiple sequence alignment, most of ali...
Chan-seok Jeong, Dongsup Kim
JMLR
2008
168views more  JMLR 2008»
13 years 8 months ago
Max-margin Classification of Data with Absent Features
We consider the problem of learning classifiers in structured domains, where some objects have a subset of features that are inherently absent due to complex relationships between...
Gal Chechik, Geremy Heitz, Gal Elidan, Pieter Abbe...