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CDC
2008
IEEE
111views Control Systems» more  CDC 2008»
15 years 7 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
CORR
2010
Springer
154views Education» more  CORR 2010»
15 years 5 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 10 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 6 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
136
Voted
CORR
2006
Springer
109views Education» more  CORR 2006»
15 years 5 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