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SIAMCO
2000
75views more  SIAMCO 2000»
15 years 7 months ago
Feedback Stabilization and Lyapunov Functions
Given a locally defined, nondifferentiable but Lipschitz Lyapunov function, we construct a (discontinuous) feedback law which stabilizes the underlying system to any given toleran...
F. H. Clarke, Yu. S. Ledyaev, L. Rifford, R. J. St...
JMLR
2002
135views more  JMLR 2002»
15 years 7 months ago
Covering Number Bounds of Certain Regularized Linear Function Classes
Recently, sample complexity bounds have been derived for problems involving linear functions such as neural networks and support vector machines. In many of these theoretical stud...
Tong Zhang
ML
2002
ACM
145views Machine Learning» more  ML 2002»
15 years 7 months ago
Boosting Methods for Regression
In this paper we examine ensemble methods for regression that leverage or "boost" base regressors by iteratively calling them on modified samples. The most successful lev...
Nigel Duffy, David P. Helmbold
MVA
2002
106views Computer Vision» more  MVA 2002»
15 years 7 months ago
A Functionally-Distributed Hand Tracking Method for Wearable Visual Interfaces and Its Applications
This paper describes a Functionally-Distributed (FD) hand tracking method for hand-gesture-based wearable visual interfaces. The method is an extension of the Distributed Monte Ca...
Takeshi Kurata, Takekazu Kato, Masakatsu Kourogi, ...
MOR
2007
140views more  MOR 2007»
15 years 7 months ago
Adaptive Control Variates for Finite-Horizon Simulation
Adaptive Monte Carlo methods are simulation efficiency improvement techniques designed to adaptively tune simulation estimators. Most of the work on adaptive Monte Carlo methods h...
Sujin Kim, Shane G. Henderson