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Matrix Factorization and Stochastic State Representations

Authors: Bart Vanluyten; Jan C. Willems; Bart De Moor;

Matrix Factorization and Stochastic State Representations

Abstract

Given a two-point finite valued process, we consider the problem of finding an underlying two-point state process such that the output at a certain time instant is a probabilistic function of the state at the same time instant. This problem is related to the hidden Markov realization problem for finite valued processes. It is shown that the problem is equivalent to the algebraic problem of decomposing a square nonnegative matrix P as V AVT with A and V nonnegative. Both multiplicative update formulas and a heuristic approach, are proposed for the solution of this decomposition problem. A simulation example shows the effectiveness of the proposed methods.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Average
Top 10%
Average
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