Active-LATHE: An Active Learning Algorithm for Boosting the Error Exponent for Learning Homogeneous Ising Trees-Reference-Cited by-同舟云学术

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Active-LATHE: An Active Learning Algorithm for Boosting the Error Exponent for Learning Homogeneous Ising Trees

Published:2023-04 Issue:4 Volume:69 Page:2537-2555
ISSN:0018-9448
Container-title:IEEE Transactions on Information Theory
language:
Short-container-title:IEEE Trans. Inform. Theory

Author:

Zhang Fengzhuo¹^ORCID,Tandon Anshoo¹^ORCID,Tan Vincent Y. F.²^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, National University of Singapore, Queenstown, Singapore

2. Department of Electrical and Computer Engineering, and the Department of Mathematics, National University of Singapore, Queenstown, Singapore

Funder

Singapore National Research Foundation (NRF) Fellowship

Singapore Ministry of Education (MOE) Academic Research Fund (AcRF) Tier 1

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Library and Information Sciences,Computer Science Applications,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/18/10073961/09950449.pdf?arnumber=9950449

Reference32 articles.

1. Consistency of an estimate of tree-dependent probability distributions (Corresp.)

2. Optimal phylogenetic reconstruction

3. Learning latent tree graphical models;choi;J Mach Learn Res,2011

4. Near-optimal learning of tree-structured distributions by Chow-Liu

5. Predictive learning on hidden tree-structured Ising models;nikolakakis;J Mach Learn Res,2021

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