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164
Voted
SEAL
2010
Springer
15 years 1 months ago
2010
Springer
Abstract. Mainstream surrogate approaches for multi-objective problems build one approximation for each objective. Mono-surrogate approaches instead aim at characterizing the Paret...
143
Voted
ICML
2009
IEEE
16 years 4 months ago
2009
IEEE
A new "herding" algorithm is proposed which directly converts observed moments into a sequence of pseudo-samples. The pseudosamples respect the moment constraints and ma...
128
Voted
ICML
2009
IEEE
15 years 10 months ago
2009
IEEE
Empirical evidence suggests that hashing is an effective strategy for dimensionality reduction and practical nonparametric estimation. In this paper we provide exponential tail bo...
114
Voted
ICML
2010
IEEE
15 years 4 months ago
2010
IEEE
We develop a new algorithm, based on EM, for learning the Linear Dynamical System model. Called the method of Approximated Second-Order Statistics (ASOS) our approach achieves dra...
131
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CORR
2008
Springer
15 years 3 months ago
2008
Springer
: Boosting is a general method for improving the accuracy of any given learning algorithm. In this paper we employ combination of Adaboost with Support Vector Machine (SVM) as comp...