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T. Takekawa

3 papers hereh-index 121k citations41 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author2
  • last author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG1
  • math.NA1
  • stat.ML1

identity via Semantic Scholar / OpenAlex

activity
20202023
most citedClustering of non-Gaussian data by variational Bayes for normal inverse Gaussian mixture models

3 citations · 3 across the 3 of their papers we have counts for

collaborators

3 papers

cs.LG2023

Goal-oriented inference of environment from redundant observations

Kazuki Takahashi, Tomoki Fukai, Yutaka Sakai +1

The agent learns to organize decision behavior to achieve a behavioral goal, such as reward maximization, and reinforcement learning is often used for this optimization. Learning a…

math.NA2021

Fast parallel calculation of modified Bessel function of the second kind and its derivatives

Takashi Takekawa

There are three main types of numerical computations for the Bessel function of the second kind: series expansion, continued fraction, and asymptotic expansion. In addition, they a…

stat.ML2020★ 3 cited

Clustering of non-Gaussian data by variational Bayes for normal inverse Gaussian mixture models

Takashi Takekawa

Finite mixture models, typically Gaussian mixtures, are well known and widely used as model-based clustering. In practical situations, there are many non-Gaussian data that are hea…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.