Lightweight Symbolic Regression with the Interaction - Transformation Representation
暂无分享,去创建一个
[1] Chris J. Hinde,et al. Multi Objective Symbolic Regression , 2016, UKCI.
[2] Hod Lipson,et al. Distilling Free-Form Natural Laws from Experimental Data , 2009, Science.
[3] George A. F. Seber,et al. Linear regression analysis , 1977 .
[4] David E. Goldberg,et al. Genetic Algorithms, Tournament Selection, and the Effects of Noise , 1995, Complex Syst..
[5] Fabrício Olivetti de França,et al. On the diversity mechanisms of opt-aiNet: A comparative study with fitness sharing , 2010, IEEE Congress on Evolutionary Computation.
[6] Bruno Sareni,et al. Fitness sharing and niching methods revisited , 1998, IEEE Trans. Evol. Comput..
[7] Luis Muñoz,et al. neat Genetic Programming: Controlling bloat naturally , 2016, Inf. Sci..
[8] Rina Dechter,et al. Generalized best-first search strategies and the optimality of A* , 1985, JACM.
[9] David Ruppert,et al. Fitting a Bivariate Additive Model by Local Polynomial Regression , 1997 .
[10] L. Billard,et al. Symbolic Regression Analysis , 2002 .
[11] George Cybenko,et al. Approximation by superpositions of a sigmoidal function , 1992, Math. Control. Signals Syst..
[12] Kurt Hornik,et al. Approximation capabilities of multilayer feedforward networks , 1991, Neural Networks.
[13] Fabrício Olivetti de França,et al. A greedy search tree heuristic for symbolic regression , 2018, Inf. Sci..
[14] John R. Koza,et al. Genetic programming - on the programming of computers by means of natural selection , 1993, Complex adaptive systems.
[15] Kalyan Veeramachaneni,et al. Building Predictive Models via Feature Synthesis , 2015, GECCO.
[16] Thomas Bäck,et al. Evolutionary algorithms in theory and practice - evolution strategies, evolutionary programming, genetic algorithms , 1996 .
[17] Thomas Bäck,et al. A Survey of Evolution Strategies , 1991, ICGA.