Genetic Programming Theory and Practice XIII
These contributions, written by the foremost international researchers and practitioners of Genetic Programming (GP), explore the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of the art in GP. Topics in this volume include: mul...
Συγγραφή απο Οργανισμό/Αρχή: | |
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Άλλοι συγγραφείς: | , , , |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2016.
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Σειρά: | Genetic and Evolutionary Computation,
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Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Evolving Simple Symbolic Regression Models by Multi-objective Genetic Programming
- Learning Heuristics for Mining RNA Sequence-Structure Motifs
- Kaizen Programming for Feature Construction for Classification
- GP as if You Meant It: An Exercise for Mindful Practice
- nPool: Massively Distributed Simultaneous Evolution and Cross-Validation in EC-Star
- Highly Accurate Symbolic Regression with Noisy Training Data
- Using Genetic Programming for Data Science: Lessons Learned
- The Evolution of Everything (EvE) and Genetic Programming
- Lexicase selection for program synthesis: a Diversity Analysis
- Using Graph Databases to Explore the Dynamics of Genetic Programming Runs
- Predicting Product Choice with Symbolic Regression and Classification
- Multiclass Classification Through Multidimensional Clustering
- Prime-Time: Symbolic Regression takes its place in the Real World.