1. Y. Bengio, R. Ducharme, P. Vincent, C. Jauvin, A neural probabilistic language model. J. Mach. Learn. Res. 3, 1137–1155 (2003)
2. R. Cummins, C. O’Riordan, An analysis of the solution space for genetically programmed term-weighting schemes in information retrieval, in 17th Artificial Intelligence and Cognitive Science Conference (AICS 2006), ed. by P.S.P.M.D. Bell (Queen’s University, Belfast, 2006)
3. T.T.H. Dinh, T.H. Chu, Q.U. Nguyen, Transfer learning in genetic programming, in Proceedings of the IEEE Congress on Evolutionary Computation CEC-2015, Sendai, Japan. (IEEE Press, 2015), pp. 1145–1151
4. H.J. Escalante, M.A. García-Limón, A. Morales-Reyes, M. Graff, M. Montes-y Gómez, E.F. Morales, J. Martínez-Carranza, Term-weighting learning via genetic programming for text classification. Knowl.-Based Syst. 83, 176–189 (2015)
5. F.-A. Fortin, D. Rainville, M.-A.G. Gardner, M. Parizeau, C. Gagné et al., DEAP: evolutionary algorithms made easy. J. Mach. Learn. Res. 13(1), 2171–2175 (2012)