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126
Voted
CDC
2008
IEEE
111views Control Systems» more  CDC 2008»
15 years 4 months ago
A Hamiltonian approximation method for the reduction of controlled systems
Abstract-- This paper considers the problem of model reduction for controlled systems. The paper considers a dual/adjoint formulation of the general optimization problem to minimiz...
Siep Weiland
124
Voted
CORR
2010
Springer
154views Education» more  CORR 2010»
15 years 2 months ago
Improved Approximation Guarantees for Sublinear-Time Fourier Algorithms
ABSTRACT. In this paper modified variants of the sparse Fourier transform algorithms from [14] are presented which improve on the approximation error bounds of the original algorit...
M. A. Iwen
ECCV
2010
Springer
15 years 8 months ago
Optimizing Complex Loss Functions in Structured Prediction
Abstract. In this paper we develop an algorithm for structured prediction that optimizes against complex performance measures, those which are a function of false positive and fals...
ICMLA
2008
15 years 4 months ago
Basis Function Construction in Reinforcement Learning Using Cascade-Correlation Learning Architecture
In reinforcement learning, it is a common practice to map the state(-action) space to a different one using basis functions. This transformation aims to represent the input data i...
Sertan Girgin, Philippe Preux
115
Voted
CORR
2006
Springer
109views Education» more  CORR 2006»
15 years 2 months ago
Decision Making with Side Information and Unbounded Loss Functions
We consider the problem of decision-making with side information and unbounded loss functions. Inspired by probably approximately correct learning model, we use a slightly differe...
Majid Fozunbal, Ton Kalker