资源简介
An up-to-date, self-contained introduction to a state-of-the-art machine learning approach, Ensemble Methods: Foundations and Algorithms shows how these accurate methods are used in real-world tasks. It gives you the necessary groundwork to carry out further research in this evolving field.
After presenting background and terminology, the book covers the main algorithms and theories, including Boosting, Bagging, Random Forest, averaging and voting schemes, the Stacking method, mixture of experts, and diversity measures. It also discusses multiclass extension, noise tolerance, error-ambiguity and bias-variance decompositions, and recent progress in information theoretic diversity.
Moving on to more advanced topics, the author explains how to achieve better performance through ensemble pruning and how to generate better clustering results by combining multiple clusterings. In addition, he describes developments of ensemble methods in semi-supervised learning, active learning, cost-sensitive learning, class-imbalance learning, and comprehensibility enhancement
代码片段和文件信息
- 上一篇:神州数码实验手册神州数码实验手册doc
- 下一篇:电磁场与电磁波 杨儒贵
相关资源
- A Concise Introduction to Models and Methods f
- Statistical Models and Methods for Financial M
- Level Set Methods and Fast Marching Methods
-
Disturbance Observer-ba
sed Control_ Methods - A First Course in Bayesian Statistical Methods
- GNSS Applications and Methods.pdf
- Advanced Mathematical Methods for Scientists a
- Image processing and analysis variational PDE
- GNSSApplicationsandMethods.pdf
- Nonlinear Time Series Nonparametric and Parame
- Molecular dynamics simulation Elementary Metho
- Deep Belief Networks Ensemble
- Neural Network Methods in Natural Language Pro
- 代码-Computational Methods for Fluid Dynamic
- Mathematical Methods of Statistics - Cramer 经典
- 视觉问答权威综述Visual Question Answer
- Data Mining Concepts Models Methods and Algori
- DenoiseMethods.rar
- Neural Network Methods for Natural Language Pr
- Mathematical Methods in the Physical Sciences
- First-orderMethodsinOptimization.pdf
- IKMethods逆向运动学
- Methods of Information Geometry
- Random Matrix Methods for Wireless Communicati
- Direct Methods for Sparse Matrices (I. S. Du
- An Introduction to Support Vector Machines and
- mil-std-202g
- Ensemble Methods Foundations and Algorithms读书
- Ensemble Methods in Data Mining
- Pairs Trading - Quantitative Methods and Analy
评论
共有 条评论