Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Genetic Programming Theory and Practice XIV / / edited by Rick Riolo, Bill Worzel, Brian Goldman, Bill Tozier
| Genetic Programming Theory and Practice XIV / / edited by Rick Riolo, Bill Worzel, Brian Goldman, Bill Tozier |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (233 pages) |
| Disciplina | 006.31 |
| Collana | Genetic and Evolutionary Computation |
| Soggetto topico |
Artificial intelligence
Computational intelligence Algorithms Artificial Intelligence Computational Intelligence Algorithm Analysis and Problem Complexity |
| ISBN | 3-319-97088-7 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1 Similarity-based Analysis of Population Dynamics in Genetic Programming Performing Symbolic Regression -- 2 An Investigation of Hybrid Structural and Behavioral Diversity Methods in Genetic Programming -- 3 Investigating Multi-Population Competitive Coevolution for Anticipation of Tax Evasion -- 4 Evolving Artificial General Intelligence for Video Game Controllers -- 5 A Detailed Analysis of a PushGP Run -- 6 Linear Genomes for Structured Programs -- 7 Neutrality, Robustness, and Evolvability in Genetic Programming -- 8 Local Search is Underused in Genetic Programming -- 9 PRETSL: Distributed Probabilistic Rule Evolution for Time-Series Classification -- 10 Discovering Relational Structural in Program Synthesis Problems with Analogical Reasoning -- 11 An Evolutionary Algorithm for Big Data Multi-Class Classification Problems -- 12 A Genetic Framework for Building Dispersion Operators in the Semantic Space -- 13 Assisting Asset Model Development with Evolutionary Augmentation -- 14 Identifying and Harnessing the Building Blocks of Machine Learning Pipelines for Sensible Initialization of a Data Science Automation Tool. |
| Record Nr. | UNINA-9910299163003321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Genetic Programming Theory and Practice XVII [[electronic resource] /] / edited by Wolfgang Banzhaf, Erik Goodman, Leigh Sheneman, Leonardo Trujillo, Bill Worzel
| Genetic Programming Theory and Practice XVII [[electronic resource] /] / edited by Wolfgang Banzhaf, Erik Goodman, Leigh Sheneman, Leonardo Trujillo, Bill Worzel |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XXVI, 409 p. 142 illus., 112 illus. in color.) |
| Disciplina | 006.31 |
| Collana | Genetic and Evolutionary Computation |
| Soggetto topico |
Artificial intelligence
Computational intelligence Algorithms Artificial Intelligence Computational Intelligence Algorithm Analysis and Problem Complexity |
| ISBN | 3-030-39958-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. Characterizing the Effects of Random Subsampling on Lexicase Selection -- 2. It is Time for New Perspectives on How to Fight Bloatin GP -- 3. Explorations of the Semantic Learning Machine Neuroevolution Algorithm -- 4. Can Genetic Programming Perform Explainable Machine Learning for Bioinformatics? -- 5. Symbolic Regression by Exhaustive Search – Reducing the Search Space using Syntactical Constraints and Efficient Semantic Structure Deduplication -- 6. Temporal Memory Sharing in Visual Reinforcement Learning -- 7. The Evolution of Representations in Genetic Programming Trees -- 8. How Competitive is Genetic Programming in Business Data Science Applications? -- 9. Using Modularity Metrics as Design Features to Guide Evolution in Genetic Programming -- 10. Evolutionary Computation and AI Safety -- 11. Genetic Programming Symbolic Regression -- 12. Hands-on Artificial Evolution through Brain Programming -- 13. Comparison of Linear Genome Representations For Software Synthesis -- 14. Enhanced Optimization with Composite Objectives and Novelty Pulsation -- 15. New Pathways in Coevolutionary Computation -- 16. 2019 Evolutionary Algorithms Review -- 17. Evolving a Dota 2 Hero Bot with a Probabilistic Shared Memory Model -- 18. Modelling Genetic Programming as a Simple Sampling Algorithm -- 19. An Evolutionary System for Better Automatic Software Repair -- Index. |
| Record Nr. | UNISA-996465456403316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Genetic Programming Theory and Practice XVII / / edited by Wolfgang Banzhaf, Erik Goodman, Leigh Sheneman, Leonardo Trujillo, Bill Worzel
| Genetic Programming Theory and Practice XVII / / edited by Wolfgang Banzhaf, Erik Goodman, Leigh Sheneman, Leonardo Trujillo, Bill Worzel |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XXVI, 409 p. 142 illus., 112 illus. in color.) |
| Disciplina | 006.31 |
| Collana | Genetic and Evolutionary Computation |
| Soggetto topico |
Artificial intelligence
Computational intelligence Algorithms Artificial Intelligence Computational Intelligence Algorithm Analysis and Problem Complexity |
| ISBN | 3-030-39958-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. Characterizing the Effects of Random Subsampling on Lexicase Selection -- 2. It is Time for New Perspectives on How to Fight Bloatin GP -- 3. Explorations of the Semantic Learning Machine Neuroevolution Algorithm -- 4. Can Genetic Programming Perform Explainable Machine Learning for Bioinformatics? -- 5. Symbolic Regression by Exhaustive Search – Reducing the Search Space using Syntactical Constraints and Efficient Semantic Structure Deduplication -- 6. Temporal Memory Sharing in Visual Reinforcement Learning -- 7. The Evolution of Representations in Genetic Programming Trees -- 8. How Competitive is Genetic Programming in Business Data Science Applications? -- 9. Using Modularity Metrics as Design Features to Guide Evolution in Genetic Programming -- 10. Evolutionary Computation and AI Safety -- 11. Genetic Programming Symbolic Regression -- 12. Hands-on Artificial Evolution through Brain Programming -- 13. Comparison of Linear Genome Representations For Software Synthesis -- 14. Enhanced Optimization with Composite Objectives and Novelty Pulsation -- 15. New Pathways in Coevolutionary Computation -- 16. 2019 Evolutionary Algorithms Review -- 17. Evolving a Dota 2 Hero Bot with a Probabilistic Shared Memory Model -- 18. Modelling Genetic Programming as a Simple Sampling Algorithm -- 19. An Evolutionary System for Better Automatic Software Repair -- Index. |
| Record Nr. | UNINA-9910409670203321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||