Forward algorithm

The forward algorithm, in the context of a hidden Markov model, is used to calculate a 'belief state': the probability of a state at a certain time… (More)
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Papers overview

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2015
2015
Datalog-based systems often materialise all consequences of a datalog program and the data, allowing users’ queries to be… (More)
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2013
2013
This paper describes a forward algorithm and an adjoint algorithm for computing sensitivity derivatives in chaotic dynamical… (More)
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Highly Cited
2012
Highly Cited
2012
Many parallelization techniques have been proposed to enhance the performance of the Apriori-like frequent itemset mining… (More)
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2012
2012
Optical character recognition refers to the process of translat ing images of hand-written, typewritten, or printed text into a… (More)
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2008
2008
The rapid development of next generation network (NGN), communication technology and programming router in the last few years… (More)
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2007
2007
A continuous forward algorithm (CFA) is proposed for nonlinear modelling and identification using radial basis function (RBF… (More)
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Highly Cited
2006
Highly Cited
2006
This paper proposes a novel hybrid forward algorithm (HFA) for the construction of radial basis function (RBF) neural networks… (More)
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Highly Cited
2004
Highly Cited
2004
We propose an efficient, hybrid Fourier-wavelet regularized deconvolution (ForWaRD) algorithm that performs noise regularization… (More)
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Highly Cited
1991
Highly Cited
1991
Volume rendering is the generation of images from discrete samples of volume data. The volume data is sampled in at least three… (More)
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1991
1991
We introduce Stochastic Recurrent Networks which are collections of interconnected finite state units. Each unit goes into a new… (More)
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