activity
20192026
most citedAlgebraic approach to maximum likelihood factor analysis

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

q-bio.QM2026

A curvature-based criterion for harmonic circadian waveforms

Yusuke Yamada, Yutaro Kabata, Ryoya Fukasaku +1

Experimental and theoretical studies of circadian rhythms have focused largely on the period, on mutants that alter it and on phase shifts, and this focus has driven the identifica…

stat.ML2025

Algebraic Approach to Ridge-Regularized Mean Squared Error Minimization in Minimal ReLU Neural Network

Ryoya Fukasaku, Yutaro Kabata, Akifumi Okuno

This paper investigates a perceptron, a simple neural network model, with ReLU activation and a ridge-regularized mean squared error (RR-MSE). Our approach leverages the fact that…

math.ST2025

Algebraic Approach for Orthomax Rotations

Ryoya Fukasaku, Michio Yamamoto, Yutaro Kabata +2

In exploratory factor analysis, rotation techniques are employed to derive interpretable factor loading matrices. Factor rotations deal with equality-constrained optimization probl…

math.ST2024★ 2 cited

Algebraic approach to maximum likelihood factor analysis

Ryoya Fukasaku, Kei Hirose, Yutaro Kabata +1

In exploratory factor analysis, model parameters are usually estimated by maximum likelihood method. The maximum likelihood estimate is obtained by solving a complicated multivaria…

math.CO2019

An algebraic reduction of Hedetniemi's conjecture

Ryoya Fukasaku, Michitaka Furuya, Akihiro Higashitani

For a graph , let denote the chromatic number. In graph theory, the following famous conjecture posed by Hedetniemi has been studied: For two graphs and , $χ(G\tim…