ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1802.06894
  4. Cited By
Learning Hidden Markov Models from Pairwise Co-occurrences with
  Application to Topic Modeling

Learning Hidden Markov Models from Pairwise Co-occurrences with Application to Topic Modeling

19 February 2018
Kejun Huang
Xiao Fu
N. Sidiropoulos
ArXivPDFHTML

Papers citing "Learning Hidden Markov Models from Pairwise Co-occurrences with Application to Topic Modeling"

5 / 5 papers shown
Title
Generating Hidden Markov Models from Process Models Through Nonnegative
  Tensor Factorization
Generating Hidden Markov Models from Process Models Through Nonnegative Tensor Factorization
E. Skau
A. Hollis
S. Eidenbenz
Kim Ø. Rasmussen
Boian Alexandrov
26
1
0
03 Oct 2022
Geometric Learning of Hidden Markov Models via a Method of Moments
  Algorithm
Geometric Learning of Hidden Markov Models via a Method of Moments Algorithm
Berlin Chen
Cyrus Mostajeran
Salem Said
20
2
0
02 Jul 2022
Approximating Permutations with Neural Network Components for Travelling
  Photographer Problem
Approximating Permutations with Neural Network Components for Travelling Photographer Problem
S. Chong
12
0
0
30 Apr 2022
Tensors, Learning, and 'Kolmogorov Extension' for Finite-alphabet Random
  Vectors
Tensors, Learning, and 'Kolmogorov Extension' for Finite-alphabet Random Vectors
Nikos Kargas
N. Sidiropoulos
Xiao Fu
31
41
0
01 Dec 2017
Tensor Decomposition for Signal Processing and Machine Learning
Tensor Decomposition for Signal Processing and Machine Learning
N. Sidiropoulos
L. De Lathauwer
Xiao Fu
Kejun Huang
Evangelos E. Papalexakis
Christos Faloutsos
105
1,342
0
06 Jul 2016
1