Search Results for author:
Found 4 papers, 1 papers with code
Using Traceless Genetic Programming for Solving Multiobjective Optimization Problems
Traceless Genetic Programming (TGP) is a Genetic Programming (GP) variant that is used in cases where the focus is rather the output of the program than the program itself.
Meta-QSAR: a large-scale application of meta-learning to drug design and discovery
We first carried out the most comprehensive ever comparison of machine learning methods for QSAR learning: 18 regression methods, 6 molecular representations, applied to more than 2, 700 QSAR problems.
A Collection of Challenging Optimization Problems in Science, Engineering and Economics
Function optimization and finding simultaneous solutions of a system of nonlinear equations (SNE) are two closely related and important optimization problems.
Classifying action correctness in physical rehabilitation exercises
The work in this paper focuses on the role of machine learning in assessing the correctness of a human motion or action.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
