Search Results for author:
Found 2 papers, 0 papers with code
State-of-the-Art Review of Machine Learning Applications in Constitutive Modeling of Soils
Moreover, some useful suggestions for developing the ML-based soil model are also provided for the community.
UNSUPERVISED METRIC LEARNING VIA NONLINEAR FEATURE SPACE TRANSFORMATIONS
In this paper, we propose a nonlinear unsupervised metric learning framework to boost of the performance of clustering algorithms.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
