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Michael F. Korns
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2020 – today
- 2021
- [c12]Michael F. Korns:
Feature Discovery with Deep Learning Algebra Networks. GPTP 2021: 109-127
2010 – 2019
- 2018
- [c11]Michael F. Korns, Tim May:
Strong Typing, Swarm Enhancement, and Deep Learning Feature Selection in the Pursuit of Symbolic Regression-Classification. GPTP 2018: 59-84 - 2017
- [c10]Michael F. Korns:
Evolutionary linear discriminant analysis for multiclass classification problems. GECCO (Companion) 2017: 233-234 - [c9]Michael F. Korns:
Genetic Programming Symbolic Classification: A Study. GPTP 2017: 39-54 - 2016
- [c8]Michael F. Korns:
An Evolutionary Algorithm for Big Data Multi-Class Classification Problems. GPTP 2016: 165-178 - 2015
- [c7]Michael F. Korns:
Highly Accurate Symbolic Regression with Noisy Training Data. GPTP 2015: 91-115 - [c6]Philip Truscott, Michael F. Korns:
Predicting Product Choice with Symbolic Regression and Classification. GPTP 2015: 203-217 - [r1]Michael F. Korns:
Trading Volatility Using Highly Accurate Symbolic Regression. Handbook of Genetic Programming Applications 2015: 531-547 - 2014
- [c5]Michael F. Korns:
Extremely Accurate Symbolic Regression for Large Feature Problems. GPTP 2014: 109-131 - 2013
- [c4]Michael F. Korns:
Extreme Accuracy in Symbolic Regression. GPTP 2013: 1-30 - [c3]Philip Truscott, Michael F. Korns:
Explaining Unemployment Rates with Symbolic Regression. GPTP 2013: 119-135
2000 – 2009
- 2009
- [c2]Michael F. Korns:
Symbolic regression using abstract expression grammars. GEC Summit 2009: 859-862 - [c1]Michael F. Korns:
Mutation and crossover with abstract expression grammars. GECCO (Companion) 2009: 2219-2224
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