Research output per year
Research output per year
Research output
- 1 Chapter
Search results
-
2020
Explorations of the Semantic Learning Machine Neuroevolution Algorithm: Dynamic Training Data Use, Ensemble Construction Methods, and Deep Learning Perspectives
Gonçalves, I., Seca, M. & Castelli, M., 8 May 2020, Genetic Programming Theory and Practice XVII: Genetic and Evolutionary Computation. Banzhaf, W., Goodman, E., Sheneman, L., Trujillo, L. & Worzel, B. (eds.). Springer, p. 39-62 Chapter 3. (Genetic Programming Theory and Practice XVII).Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
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