Statistical Machine Learning in Markov Random Fields

DOI Web Site 8 References Open Access

Bibliographic Information

Other Title
  • マルコフ確率場における統計的機械学習
  • —データの源を模倣する生成モデル学習—
  • Generative Model for Extracting the Data Expression

Description

In this article, we introduce the foundations of the generative model approach in statistical machine learning theory based on Markov random fields. The purpose of the generative model approach is to create a probabilistic model that mimics the source from which the observed data were generated. After explaining Markov random fields and the generative model approach, we introduce the restricted Boltzmann machine, which is a basic model of a deep generative model.

Journal

  • IEICE ESS Fundamentals Review

    IEICE ESS Fundamentals Review 11 (4), 256-265, 2018

    The Institute of Electronics, Information and Communication Engineers

References(8)*help

See more

Keywords

Details 詳細情報について

Report a problem

Back to top