Where are we now? A large benchmark study of recent symbolic regression methods

25 April 2018

Papers citing "Where are we now? A large benchmark study of recent symbolic regression methods"

7 / 7 papers shown

Title
Epsilon-Lexicase Selection for Regression William La Cava Lee Spector K. Danai 25 136 0 30 May 2019
Data-driven Advice for Applying Machine Learning to Bioinformatics Problems Randal S. Olson William La Cava Zairah Mustahsan Akshay Varik J. Moore OOD 40 266 0 08 Aug 2017
PMLB: A Large Benchmark Suite for Machine Learning Evaluation and Comparison Randal S. Olson William La Cava Patryk Orzechowski Ryan J. Urbanowicz J. Moore 369 378 0 01 Mar 2017
Symbolic Regression Algorithms with Built-in Linear Regression J. Žegklitz P. Posík 31 11 0 13 Jan 2017
XGBoost: A Scalable Tree Boosting System Tianqi Chen Carlos Guestrin 698 38,735 0 09 Mar 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.6K 149,842 0 22 Dec 2014
OpenML: networked science in machine learning Joaquin Vanschoren Jan N. van Rijn B. Bischl Luís Torgo FedML AI4CE 152 1,321 0 29 Jul 2014