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High-dimensional structure learning of binary pairwise Markov networks: A comparative numerical study
High-dimensional structure learning of binary pairwise Markov networks: A comparative numerical study
2019
Johan Pensar
Yingying Xu
Santeri Puranen
Maiju Pesonen
Yoshiyuki Kabashima
Jukka Corander
Keywords:
Theoretical computer science
Mathematics
Mathematical optimization
Binary number
Parallelizable manifold
Sampling (statistics)
Data set
Boltzmann machine
Pairwise comparison
Markov chain
Gibbs sampling
Correction
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