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07/25/2023
Feature Importance Measurement based on Decision Tree Sampling
Random forest is effective for prediction tasks but the randomness of tr...
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06/23/2023
Efficient Model Selection for Predictive Pattern Mining Model by Safe Pattern Pruning
Predictive pattern mining is an approach used to construct prediction mo...
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04/27/2023
NIMS-OS: An automation software to implement a closed loop between artificial intelligence and robotic experiments in materials science
NIMS-OS (NIMS Orchestration System) is a Python library created to reali...
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03/09/2022
On a linear fused Gromov-Wasserstein distance for graph structured data
We present a framework for embedding graph structured data into a vector...
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06/09/2021
Fast and More Powerful Selective Inference for Sparse High-order Interaction Model
Automated high-stake decision-making such as medical diagnosis requires ...
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06/07/2021
A generative model for molecule generation based on chemical reaction trees
Deep generative models have been shown powerful in generating novel mole...
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04/30/2021
Continuous black-box optimization with quantum annealing and random subspace coding
A black-box optimization algorithm such as Bayesian optimization finds e...
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10/25/2019
Leveraging Legacy Data to Accelerate Materials Design via Preference Learning
Machine learning applications in materials science are often hampered by...
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05/21/2018
Transductive Boltzmann Machines
We present transductive Boltzmann machines (TBMs), which firstly achieve...
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02/13/2018
Legendre Tensor Decomposition
We present a novel nonnegative tensor decomposition method, called Legen...
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09/29/2017
ChemTS: An Efficient Python Library for de novo Molecular Generation
Automatic design of organic materials requires black-box optimization in...
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02/27/2017
Tensor Balancing on Statistical Manifold
We solve tensor balancing, rescaling an Nth order nonnegative tensor by ...
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02/15/2016
Selective Inference Approach for Statistically Sound Predictive Pattern Mining
Discovering statistically significant patterns from databases is an impo...
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02/15/2016
Safe Pattern Pruning: An Efficient Approach for Predictive Pattern Mining
In this paper we study predictive pattern mining problems where the goal...
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10/27/2015
Redesigning pattern mining algorithms for supercomputers
Upcoming many core processors are expected to employ a distributed memor...
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06/26/2015