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Markov chain

Known as: Discrete time Markov chain, Discrete-time Markov process, Markoff Chain 
In probability theory and statistics, a Markov chain or Markoff chain, named after the Russian mathematician Andrey Markov, is a stochastic process… Expand
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Related topics

Related topics

50 relations
A Mathematical Theory of CommunicationBioinformaticsChvátal–Sankoff constantsCoarse space (numerical analysis)
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Broader (1)

Graph theory

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2019
Review
2019
A Survey of Multi-View Representation Learning
Recently, multi-view representation learning has become a rapidly growing direction in machine learning and data mining areas… Expand
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Review
2019
Review
2019
Feature-based aggregation and deep reinforcement learning: a survey and some new implementations
  • D. Bertsekas
  • IEEE/CAA Journal of Automatica Sinica
  • 2019
    • Corpus ID: 4881243
In this paper we discuss policy iteration methods for approximate solution of a finite-state discounted Markov decision problem… Expand
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Review
2019
Review
2019
Survey of Attack Projection, Prediction, and Forecasting in Cyber Security
This paper provides a survey of prediction, and forecasting methods used in cyber security. Four main tasks are discussed first… Expand
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Review
2018
Review
2018
From Surveillance to Digital Twin: Challenges and Recent Advances of Signal Processing for Industrial Internet of Things
With the recent advances in the Internet of Things (IoT), the significance of information technologies to modern industry is… Expand
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Review
2018
Review
2018
A review of supply chain risk management: definition, theory, and research agenda
Purpose The purpose of this paper is to review the extant literature on supply chain risk management (SCRM, including risk… Expand
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Review
2018
Review
2018
Compound Extremes in Hydroclimatology: A Review
Extreme events, such as drought, heat wave, cold wave, flood, and extreme rainfall, have received increasing attention in recent… Expand
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Review
2018
Review
2018
Machine learning approaches for non-intrusive load monitoring: from qualitative to quantitative comparation
Non-intrusive load monitoring (NILM) is the prevailing method used to monitor the energy profile of a domestic building and… Expand
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Review
2018
Review
2018
Deep Learning for IoT Big Data and Streaming Analytics: A Survey
In the era of the Internet of Things (IoT), an enormous amount of sensing devices collect and/or generate various sensory data… Expand
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Review
2018
Review
2018
A Survey of 5G Channel Measurements and Models
The fifth generation (5G) mobile communication systems will be in use around 2020. The aim of 5G systems is to provide anywhere… Expand
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Review
2017
Review
2017
Age of Information: A New Concept, Metric, and Tool
In an increasingly networked world in which information is becoming increasingly actual, how can a system know with certainty… Expand
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