Previously, we proposed a probabilistic data generation model represented by an unobservable tree and a sequential updating method to calculate a posterior distribution over a set of trees. The set is called a meta-tree. In this paper, we propose a more efficient batch updating method.
Yuta NAKAHARA
Waseda University
Toshiyasu MATSUSHIMA
Waseda University
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Yuta NAKAHARA, Toshiyasu MATSUSHIMA, "Batch Updating of a Posterior Tree Distribution Over a Meta-Tree" in IEICE TRANSACTIONS on Fundamentals,
vol. E107-A, no. 3, pp. 523-525, March 2024, doi: 10.1587/transfun.2023TAL0003.
Abstract: Previously, we proposed a probabilistic data generation model represented by an unobservable tree and a sequential updating method to calculate a posterior distribution over a set of trees. The set is called a meta-tree. In this paper, we propose a more efficient batch updating method.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.2023TAL0003/_p
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@ARTICLE{e107-a_3_523,
author={Yuta NAKAHARA, Toshiyasu MATSUSHIMA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Batch Updating of a Posterior Tree Distribution Over a Meta-Tree},
year={2024},
volume={E107-A},
number={3},
pages={523-525},
abstract={Previously, we proposed a probabilistic data generation model represented by an unobservable tree and a sequential updating method to calculate a posterior distribution over a set of trees. The set is called a meta-tree. In this paper, we propose a more efficient batch updating method.},
keywords={},
doi={10.1587/transfun.2023TAL0003},
ISSN={1745-1337},
month={March},}
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TY - JOUR
TI - Batch Updating of a Posterior Tree Distribution Over a Meta-Tree
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 523
EP - 525
AU - Yuta NAKAHARA
AU - Toshiyasu MATSUSHIMA
PY - 2024
DO - 10.1587/transfun.2023TAL0003
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E107-A
IS - 3
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - March 2024
AB - Previously, we proposed a probabilistic data generation model represented by an unobservable tree and a sequential updating method to calculate a posterior distribution over a set of trees. The set is called a meta-tree. In this paper, we propose a more efficient batch updating method.
ER -