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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… 
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Related topics

Related topics

26 relations
Arbitrarily varying channelCentralityComputer scienceDensity matrix

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2015
Highly Cited
2015
An ant colony based algorithm for overlapping community detection in complex networks
Highly Cited
2011
Highly Cited
2011
A novel bacterial foraging technique for edge detection
Highly Cited
2008
Highly Cited
2008
Spontaneous Emission and Characteristics of Staggered InGaN Quantum-Well Light-Emitting Diodes
A novel gain media based on staggered InGaN quantum wells (QWs) grown by metal-organic chemical vapor deposition was demonstrated… 
Highly Cited
2006
Highly Cited
2006
Modeling and Analysis of Connectivity in Mobile Ad Hoc Networks with Misbehaving Nodes
Mobile ad hoc networks are vulnerable to malicious attacks and failures due to their unique features, such as node mobility and… 
Highly Cited
2005
Highly Cited
2005
A new framework of LSB steganalysis of digital media
We propose a general framework for the detection of the least significant bit (LSB) steganography using digital media files as… 
Highly Cited
2005
Highly Cited
2005
State synchronization in local-interaction networks is robust with respect to time delays
This is among the first results that suggest that multi-agent systems that interact through time-invariant, nearest-neighbor… 
Highly Cited
2000
Highly Cited
2000
Description of multi-quasiparticle bands by the tilted axis cranking model
Highly Cited
1993
Highly Cited
1993
Performance of ARQ protocols in nonindependent channel errors
The performance of automatic-repeat-request (ARQ) protocols which are affected by nonindependent channel errors is studied. The… 
Highly Cited
1988
Highly Cited
1988
Fine‐Scale Spatial and Temporal Variation in the Demography of a Perennial Bunchgrass
Most life history studies assume that demographic transition rates within a population are temporally and spatially invariant. A… 
Highly Cited
1985
Highly Cited
1985
Technical Note - A Markov Chain Partitioning Algorithm for Computing Steady State Probabilities
This paper presents a partitioning algorithm for recursively computing the steady state probabilities for a finite, irreducible… 
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