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» Generalization Bounds for Some Ordinal Regression Algorithms
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NIPS
2003
13 years 8 months ago
Online Passive-Aggressive Algorithms
We present a family of margin based online learning algorithms for various prediction tasks. In particular we derive and analyze algorithms for binary and multiclass categorizatio...
Shai Shalev-Shwartz, Koby Crammer, Ofer Dekel, Yor...
TACAS
2005
Springer
108views Algorithms» more  TACAS 2005»
14 years 25 days ago
On Some Transformation Invariants Under Retiming and Resynthesis
Transformations using retiming and resynthesis operations are the most important and practical (if not the only) techniques used in optimizing synchronous hardware systems. Althoug...
Jie-Hong Roland Jiang
IDEAL
2004
Springer
14 years 22 days ago
Kernel Density Construction Using Orthogonal Forward Regression
Abstract— The paper presents an efficient construction algorithm for obtaining sparse kernel density estimates based on a regression approach that directly optimizes model gener...
Sheng Chen, Xia Hong, Chris J. Harris
ML
2007
ACM
106views Machine Learning» more  ML 2007»
13 years 6 months ago
Surrogate maximization/minimization algorithms and extensions
Abstract Surrogate maximization (or minimization) (SM) algorithms are a family of algorithms that can be regarded as a generalization of expectation-maximization (EM) algorithms. A...
Zhihua Zhang, James T. Kwok, Dit-Yan Yeung
CORR
2008
Springer
139views Education» more  CORR 2008»
13 years 7 months ago
Exact two-terminal reliability of some directed networks
Abstract-- The calculation of network reliability in a probabilistic context has long been an issue of practical and academic importance. Conventional approaches (determination of ...
Christian Tanguy