Search Results for author: Ruriko Yoshida

Found 6 papers, 3 papers with code

Solving reward-collecting problems with UAVs: a comparison of online optimization and Q-learning

1 code implementation30 Nov 2021 Yixuan Liu, Chrysafis Vogiatzis, Ruriko Yoshida, Erich Morman

Uncrewed autonomous vehicles (UAVs) have made significant contributions to reconnaissance and surveillance missions in past US military campaigns.

Autonomous Vehicles Q-Learning

SARS-CoV-2 Dissemination using a Network of the United States Counties

no code implementations26 Nov 2021 Patrick Urrutia, David Wren, Chrysafis Vogiatzis, Ruriko Yoshida

County officials can provide targeted information, preparedness training, as well as increase testing in these areas.

Time Series

Tropical Support Vector Machines: Evaluations and Extension to Function Spaces

no code implementations27 Jan 2021 Ruriko Yoshida, Misaki Takamori, Hideyuki Matsumoto, Keiji Miura

While the generalization error bounds attained via VC dimensions in a distribution-free manner still depend on the dimension, we also show theoretically by extreme value statistics that the tropical SVMs for classifying data points from two Gaussian distributions as well as empirical data sets of different neuron types are fairly robust against the curse of dimensionality.

Tropical Data Science

no code implementations13 May 2020 Ruriko Yoshida

Phylogenomics is a new field which applies to tools in phylogenetics to genome data.

Tropical Support Vector Machine and its Applications to Phylogenomics

2 code implementations2 Mar 2020 Xiaoxian Tang, Houjie Wang, Ruriko Yoshida

For hard margin tropical SVMs, we prove the necessary and sufficient conditions for two categories of data points to be separated, and we show an explicit formula for the optimal value of the feasible linear programming problem.

Tropical Principal Component Analysis and its Application to Phylogenetics

1 code implementation7 Oct 2017 Ruriko Yoshida, Leon Zhang, Xu Zhang

Principal component analysis is a widely-used method for the dimensionality reduction of a given data set in a high-dimensional Euclidean space.

Combinatorics Populations and Evolution

Cannot find the paper you are looking for? You can Submit a new open access paper.