Satoshi Kozawa

dblp:120/9036 · DBLP profile ↗
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3ranked-venue papers
2as first author
1since 2021 · last 2022
0000-0002-6932-3639ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2 · 2 first-authorTheory of computation · 1 · 1 since 2021
YearPublicationVenuePosition
2022 On the Complexity of Tree Edit Distance with Variables
abstract
In this paper, we propose tree edit distance with variables, which is an extension of the tree edit distance to handle trees with variables and has a potential application to measuring the similarity between mathematical formulas. We analyze the computational complexity of several variants of this model. In particular, we show that the problem is NP-complete for ordered trees. We also show for unordered trees that the problem of deciding whether or not the distance is 0 is graph isomorphism complete but can be solved in polynomial time if the maximum outdegree of input trees is bounded by a constant. We also present parameterized and exponential-time algorithms for ordered and unordered cases, respectively.
Tatsuya Akutsu, Tomoya Mori, Naotoshi Nakamura, Satoshi Kozawa, Yuhei Ueno, Thomas N. Sato
ISAAC4
2015 Bayesian Cell Force Estimation Considering Force Directions
Satoshi Kozawa, Yuichi Sakumura, Michinori Toriyama, Naoyuki Inagaki, Kazushi Ikeda
Neural Process. Lett.1
2012 An Estimation of Cell Forces with Hierarchical Bayes Approach Considering Cell Morphology
Satoshi Kozawa, Yuichi Sakumura, Michinori Toriyama, Naoyuki Inagaki, Kazushi Ikeda
ICONIP (1)1