Yüklüyor…
Machine Learning for Evolution Strategies
This book introduces numerous algorithmic hybridizations between both worlds that show how machine learning can improve and support evolution strategies. The set of methods comprises covariance matrix estimation, meta-modeling of fitness and constraint functions, dimensionality reduction for search...
| Yazar: | Kramer, Oliver (Yazar) |
|---|---|
| Müşterek Yazar: | SpringerLink (Online service) |
| Materyal Türü: | e-Kitap |
| Dil: | İngilizce |
| Baskı/Yayın Bilgisi: |
Cham :
Springer International Publishing : Imprint: Springer,
2016.
|
| Edisyon: | 1st ed. 2016. |
| Seri Bilgileri: | Studies in Big Data,
20 |
| Konular: | |
| Online Erişim: | Full-text access OPAC'ta görüntüle |
Benzer Materyaller
-
Outlier Detection: Techniques and Applications A Data Mining Perspective /
Yazar:: Ranga Suri, N. N. R., ve diğerleri
Baskı/Yayın Bilgisi: (2019) -
Rule Based Systems for Big Data A Machine Learning Approach /
Yazar:: Liu, Han, ve diğerleri
Baskı/Yayın Bilgisi: (2016) -
Artificial Intelligence and Exponential Technologies: Business Models Evolution and New Investment Opportunities
Yazar:: Corea, Francesco
Baskı/Yayın Bilgisi: (2017) -
Techniques and Environments for Big Data Analysis Parallel, Cloud, and Grid Computing /
Baskı/Yayın Bilgisi: (2016) -
Computational Intelligence in Data Mining-Volume 2 Proceedings of the International Conference on CIDM, 5-6 December 2015 /
Baskı/Yayın Bilgisi: (2016)