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. 1506.00976
  4. Cited By
Toward a generic representation of random variables for machine learning
v1v2 (latest)

Toward a generic representation of random variables for machine learning

2 June 2015
Gautier Marti
P. Very
Philippe Donnat
    CML
ArXiv (abs)PDFHTML

Papers citing "Toward a generic representation of random variables for machine learning"

4 / 4 papers shown
Title
On the Properties of Kullback-Leibler Divergence Between Multivariate
  Gaussian Distributions
On the Properties of Kullback-Leibler Divergence Between Multivariate Gaussian Distributions
Yufeng Zhang
Wanwei Liu
Zhenbang Chen
Ji Wang
KenLi Li
128
26
0
10 Feb 2021
Algorithms for Learning Graphs in Financial Markets
Algorithms for Learning Graphs in Financial Markets
José Vinícius de Miranda Cardoso
Jiaxi Ying
Daniel P. Palomar
CMLAIFin
128
17
0
31 Dec 2020
Optimal Copula Transport for Clustering Multivariate Time Series
Optimal Copula Transport for Clustering Multivariate Time Series
Gautier Marti
Frank Nielsen
Philippe Donnat
OTAI4TS
145
8
0
27 Sep 2015
HCMapper: An interactive visualization tool to compare partition-based
  flat clustering extracted from pairs of dendrograms
HCMapper: An interactive visualization tool to compare partition-based flat clustering extracted from pairs of dendrograms
Gautier Marti
Philippe Donnat
Frank Nielsen
P. Very
41
5
0
29 Jul 2015
1