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Dive into the research topics where Lukas Kammerer is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Projects
- 2 Finished
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Josef Ressel Zentrum für Symbolische Regression
Kronberger, G., Kommenda, M., Beneder, M., Burlacu, B., Haider, C. A., Kammerer, L., Bachinger, F. & Jödicke, D.
01.01.2018 → 31.12.2022
Project: Research Project
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Empirical analysis of variance for genetic programming based symbolic regression
Kammerer, L., Kronberger, G. & Winkler, S., 7 Jul 2021, GECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery, Inc, p. 251-252 2 p. (GECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion).Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review
Open Access -
Data Aggregation for Reducing Training Data in Symbolic Regression
Kammerer, L., Kronberger, G. & Kommenda, M., 2020, Computer Aided Systems Theory – EUROCAST 2019 - 17th International Conference, Revised Selected Papers. Moreno-Díaz, R., Quesada-Arencibia, A. & Pichler, F. (eds.). Springer, p. 378-386 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12013 LNCS).Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review
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Identification of Dynamical Systems Using Symbolic Regression
Kronberger, G., Kammerer, L. & Kommenda, M., 2020, Computer Aided Systems Theory – EUROCAST 2019 - 17th International Conference, Revised Selected Papers. Moreno-Díaz, R., Quesada-Arencibia, A. & Pichler, F. (eds.). Springer, p. 370-377 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12013 LNCS).Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review
1 Citation (Scopus) -
Symbolic Regression by Exhaustive Search: Reducing the Search Space using Syntactical Constraints and Efficient Semantic Structure Deduplication
Kammerer, L., Kronberger, G., Burlacu, B., Winkler, S., Kommenda, M. & Affenzeller, M., 2020, (E-pub ahead of print) Genetic Programming in Theory and Practice XVII. Springer, p. 79-99 21 p.Research output: Chapter in Book/Report/Conference proceedings › Chapter
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Cluster Analysis of a Symbolic Regression Search Space
Kronberger, G., Kammerer, L., Burlacu, B., Winkler, S., Kommenda, M. & Affenzeller, M., 2019, Genetic Programming in Theory and Practice XVI. Springer, p. 85-102 18 p.Research output: Chapter in Book/Report/Conference proceedings › Chapter