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ICML
2006
IEEE
14 years 4 months ago
Automatic basis function construction for approximate dynamic programming and reinforcement learning
We address the problem of automatically constructing basis functions for linear approximation of the value function of a Markov Decision Process (MDP). Our work builds on results ...
Philipp W. Keller, Shie Mannor, Doina Precup
ESA
2005
Springer
146views Algorithms» more  ESA 2005»
14 years 3 months ago
An Approximation Algorithm for the Minimum Latency Set Cover Problem
The input to the minimum latency set cover problem (MLSC) consists of a set of jobs and a set of tools. Each job j needs a specific subset Sj of the tools in order to be processed...
Refael Hassin, Asaf Levin
ICASSP
2010
IEEE
13 years 10 months ago
Approximate eigenvalue decomposition of para-Hermitian systems through successive FIR paraunitary transformations
The eigenvalue decomposition (EVD) of a Hermitian matrix in terms of unitary matrices is well known. In this paper, we present an algorithm for the approximate EVD (AEVD) of a par...
Andre Tkacenko
ICASSP
2010
IEEE
13 years 10 months ago
A comparison of approximate Viterbi techniques and particle filtering for data estimation in digital communications
We consider trellis-based algorithms for data estimation in digital communication systems. We present a general framework which includes approximate Viterbi algorithms like the M-...
Steffen Barembruch
NPL
2008
63views more  NPL 2008»
13 years 10 months ago
New Routes from Minimal Approximation Error to Principal Components
We introduce two new methods of deriving the classical PCA in the framework of minimizing the mean square error upon performing a lower-dimensional approximation of the data. These...
Abhilash Alexander Miranda, Yann-Aël Le Borgn...