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Stochastic matrix

Known as: Markov transition matrix, Markov Matrices, Stachastic matrix 
In mathematics, a stochastic matrix (also termed probability matrix, transition matrix, substitution matrix, or Markov matrix) is a matrix used to… Expand
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Papers overview

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Highly Cited
2011
Highly Cited
2011
Recurrent Neural Networks (RNNs) are very powerful sequence models that do not enjoy widespread use because it is extremely… Expand
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Highly Cited
2010
Highly Cited
2010
Recommender systems are an important component of many websites. Two of the most popular approaches are based on matrix… Expand
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Highly Cited
2006
Highly Cited
2006
A spin-1/2 system on a honeycomb lattice is studied. The interactions between nearest neighbors are of XX, YY or ZZ type… Expand
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Highly Cited
2003
Highly Cited
2003
The capacity of multiple-input multiple-output (MIMO) wireless channels is limited by both the spatial fading correlation and… Expand
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Highly Cited
2003
Highly Cited
2003
Continuous-time Markov chains (CTMCs) have been widely used to determine system performance and dependability characteristics… Expand
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Highly Cited
2001
Highly Cited
2001
A system with many senders and receivers contains many new elements in the communication problem: interference, cooperation and… Expand
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Highly Cited
1997
Highly Cited
1997
Probability and Random Variables Mathematical Description of Random Signals Response of Linear Systems to Random Inputs Wiener… Expand
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Highly Cited
1989
Highly Cited
1975
Highly Cited
1975
Cross-impact analysis is a method for revising estimated probabilities of future events in terms of estimated interactions among… Expand
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Highly Cited
1970
Highly Cited
1970
During the years since the first edition of this well-known monograph appeared, the subject (the geometry of the zeros of a… Expand