Understanding the effect of hyperparameter optimization on machine learning models for structure design problems

4 July 2020

Papers citing "Understanding the effect of hyperparameter optimization on machine learning models for structure design problems"

8 / 8 papers shown

Title
A case study : Influence of Dimension Reduction on regression trees-based Algorithms -Predicting Aeronautics Loads of a Derivative Aircraft E. Fournier S. Grihon T. Klein 18 4 0 16 Nov 2018
Deep learning for determining a near-optimal topological design without any iteration Yonggyun Yu Taeil Hur Jaeho Jung I. Jang 3DV 28 291 0 13 Jan 2018
Gaussian process regression for forecasting battery state of health R. Richardson Michael A. Osborne David A. Howey 28 521 0 16 Mar 2017
mlrMBO: A Modular Framework for Model-Based Optimization of Expensive Black-Box Functions B. Bischl Jakob Richter Jakob Bossek Daniel Horn Janek Thomas Michel Lang 40 168 0 09 Mar 2017
Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets Aaron Klein Stefan Falkner Simon Bartels Philipp Hennig Frank Hutter AI4CE 56 546 0 23 May 2016
Structure Discovery in Nonparametric Regression through Compositional Kernel Search David Duvenaud J. Lloyd Roger C. Grosse J. Tenenbaum Zoubin Ghahramani 47 509 0 20 Feb 2013
Practical Bayesian Optimization of Machine Learning Algorithms Jasper Snoek Hugo Larochelle Ryan P. Adams 268 7,883 0 13 Jun 2012
A survey of cross-validation procedures for model selection Sylvain Arlot Alain Celisse 130 3,583 0 27 Jul 2009