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AIPS
2000
15 years 8 months ago
A New Perspective on Algorithms for Optimizing Policies under Uncertainty
The paper takes a fresh look at algorithms for maximizing expected utility over a set of policies, that is, a set of possible ways of reacting to observations about an uncertain s...
Rina Dechter
CORR
2008
Springer
106views Education» more  CORR 2008»
15 years 7 months ago
Quantum walk based search algorithms
In this survey paper we give an intuitive treatment of the discrete time quantization of classical Markov chains. Grover search and the quantum walk based search algorithms of Amba...
Miklos Santha
BMCBI
2005
108views more  BMCBI 2005»
15 years 7 months ago
A linear memory algorithm for Baum-Welch training
Background: Baum-Welch training is an expectation-maximisation algorithm for training the emission and transition probabilities of hidden Markov models in a fully automated way. I...
István Miklós, Irmtraud M. Meyer
ICIP
2010
IEEE
15 years 5 months ago
An aliasing detection algorithm based on suspicious colocalizations of Fourier coefficients
We propose a new algorithm to detect the presence and the localization of aliasing in a single digital image.Considering the image in Fourier domain, the fact that two frequencies...
Baptiste Coulange, Lionel Moisan
TSMC
2010
15 years 1 months ago
Invariant Set of Weight of Perceptron Trained by Perceptron Training Algorithm
In this paper, an invariant set of the weight of the perceptron trained by the perceptron training algorithm is defined and characterized. The dynamic range of the steady state va...
Charlotte Yuk-Fan Ho, Bingo Wing-Kuen Ling, Herber...