Genetic Programming: 13th European Conference, EuroGP 2010, Istanbul, Turkey, April 7-9, 2010, Proceedings: Lecture Notes in Computer Science, cartea 6021
Editat de Anna Isabel Esparcia-Alcazar, Aniko Ekart, Sara Silva, Stephen Dignum, A. Sima Uyaren Limba Engleză Paperback – 25 mar 2010
Din seria Lecture Notes in Computer Science
- 20% Preț: 297.45 lei
- 20% Preț: 297.45 lei
- 20% Preț: 517.29 lei
- 5% Preț: 343.06 lei
- 20% Preț: 241.52 lei
- 20% Preț: 303.27 lei
- 20% Preț: 624.06 lei
- 20% Preț: 296.89 lei
- Preț: 346.79 lei
- Preț: 340.83 lei
- 20% Preț: 379.02 lei
- 20% Preț: 221.75 lei
- 20% Preț: 275.91 lei
- Preț: 262.38 lei
- 20% Preț: 298.57 lei
- 20% Preț: 266.97 lei
- 20% Preț: 360.10 lei
- 20% Preț: 310.09 lei
- 20% Preț: 284.43 lei
- 20% Preț: 308.00 lei
- 20% Preț: 202.42 lei
- 20% Preț: 283.35 lei
- 20% Preț: 315.25 lei
- 20% Preț: 572.84 lei
- 20% Preț: 475.27 lei
- 20% Preț: 291.91 lei
- 20% Preț: 289.52 lei
- 20% Preț: 290.45 lei
- 20% Preț: 698.69 lei
- 20% Preț: 347.90 lei
- 20% Preț: 413.13 lei
- 17% Preț: 338.16 lei
- 20% Preț: 771.51 lei
- 20% Preț: 447.62 lei
- 20% Preț: 298.57 lei
- 20% Preț: 287.43 lei
- 20% Preț: 414.27 lei
- 20% Preț: 413.75 lei
- 20% Preț: 639.35 lei
- 20% Preț: 267.73 lei
- 20% Preț: 322.75 lei
- 20% Preț: 297.58 lei
- 20% Preț: 367.40 lei
- 20% Preț: 607.93 lei
- 20% Preț: 297.58 lei
- 20% Preț: 377.31 lei
- 20% Preț: 289.95 lei
- 20% Preț: 418.32 lei
- 20% Preț: 345.69 lei
Preț: 302.84 lei
Preț vechi: 378.56 lei
-20%
Puncte Express: 454
Preț estimativ în valută:
58.02€ • 62.85$ • 49.76£
58.02€ • 62.85$ • 49.76£
Carte tipărită la comandă
Livrare economică 06-13 mai
Preluare comenzi: 021 569.72.76
Specificații
ISBN-13: 9783642121470
ISBN-10: 3642121470
Pagini: 352
Ilustrații: XII, 336 p. 149 illus.
Greutate: 0.54 kg
Ediția:2010
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Theoretical Computer Science and General Issues
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3642121470
Pagini: 352
Ilustrații: XII, 336 p. 149 illus.
Greutate: 0.54 kg
Ediția:2010
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Theoretical Computer Science and General Issues
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
Professional/practitionerCuprins
Oral Presentations.- Genetic Programming for Classification with Unbalanced Data.- An Analysis of the Behaviour of Mutation in Grammatical Evolution.- Positional Effect of Crossover and Mutation in Grammatical Evolution.- Sub-tree Swapping Crossover and Arity Histogram Distributions.- Novelty-Based Fitness: An Evaluation under the Santa Fe Trail.- An Analysis of Genotype-Phenotype Maps in Grammatical Evolution.- Handling Different Categories of Concept Drifts in Data Streams Using Distributed GP.- An Indirect Approach to the Three-Dimensional Multi-pipe Routing Problem.- Phenotypic Diversity in Initial Genetic Programming Populations.- A Relaxed Approach to Simplification in Genetic Programming.- Unsupervised Problem Decomposition Using Genetic Programming.- GP-Fileprints: File Types Detection Using Genetic Programming.- A Many Threaded CUDA Interpreter for Genetic Programming.- Controlling Complex Dynamics with Artificial Biochemical Networks.- Geometric Differential Evolution on the Space of Genetic Programs.- Improving the Generalisation Ability of Genetic Programming with Semantic Similarity based Crossover.- Evolving Genes to Balance a Pole.- Solution-Locked Averages and Solution-Time Binning in Genetic Programming.- Enabling Object Reuse on Genetic Programming-Based Approaches to Object-Oriented Evolutionary Testing.- Analytic Solutions to Differential Equations under Graph-Based Genetic Programming.- Learning a Lot from Only a Little: Genetic Programming for Panel Segmentation on Sparse Sensory Evaluation Data.- Posters.- Genetic Programming for Auction Based Scheduling.- Bandit-Based Genetic Programming.- Using Imaginary Ensembles to Select GP Classifiers.- Analysis of Building Blocks with Numerical Simplification in Genetic Programming.- Fast Evaluation of GP Trees on GPGPU by Optimizing Hardware Scheduling.- Ensemble Image Classification Method Based on Genetic Image Network.- Fine-Grained Timing Using Genetic Programming.
Caracteristici
Fast track conference proceeding
Unique visibility
State of the art research
Unique visibility
State of the art research