Zhang, Cha
Ensemble Machine Learning
1. Ensemble Learning
Robi Polikar
2. Boosting Algorithms: A Review of Methods, Theory, and Applications
Artur J. Ferreira, Mário A. T. Figueiredo
3. Boosting Kernel Estimators
Marco Marzio, Charles C. Taylor
4. Targeted Learning
Mark J. Laan, Maya L. Petersen
5. Random Forests
Adele Cutler, D. Richard Cutler, John R. Stevens
6. Ensemble Learning by Negative Correlation Learning
Huanhuan Chen, Anthony G. Cohn, Xin Yao
7. Ensemble Nyström
Sanjiv Kumar, Mehryar Mohri, Ameet Talwalkar
8. Object Detection
Jianxin Wu, James M. Rehg
9. Classifier Boosting for Human Activity Recognition
Raffay Hamid
10. Discriminative Learning for Anatomical Structure Detection and Segmentation
S. Kevin Zhou, Jingdan Zhang, Yefeng Zheng
11. Random Forest for Bioinformatics
Yanjun Qi
Avainsanat: Engineering, Computational Intelligence, Data Mining and Knowledge Discovery, Computer Science, general
- Tekijä(t)
- Zhang, Cha
- Ma, Yunqian
- Julkaisija
- Springer
- Julkaisuvuosi
- 2012
- Kieli
- en
- Painos
- 2012
- Sivumäärä
- 8 sivua
- Kategoria
- Tekniikka, energia, liikenne
- Tiedostomuoto
- E-kirja
- eISBN (PDF)
- 9781441993267