Adaboost Boosting Methods
Machine learning for_finance
Estimation of Respiratory Rate from Smartphone’s Acceleration Data
R User Group Singapore, Data Mining with R (Workshop II) - Random forests
Margins, support vectors, and linear programming, oh my! Reading: Bishop, 4.0, 4.1, 7.0, 7.1 Burges tutorial (on class resources page)
1 Ensemble Learning: An Introduction Adapted from Slides by Tan, Steinbach, Kumar.
The Elements of Statistical Learning
Graph-based Consensus Maximization among Multiple Supervised and Unsupervised Models Jing Gao 1, Feng Liang 2, Wei Fan 3, Yizhou Sun 1, Jiawei Han 1 1.
Combining Supervised and Unsupervised Learning for Zero-Day Malware Detection © 2013 Narus, Inc. Prakash Comar 1 Lei Liu 1 Sabyasachi (Saby) Saha 2 Pang-Ning.
Khaled N. Khasawneh*, Meltem Ozsoy***, Caleb Donovick**, Nael Abu-Ghazaleh*, and Dmitry Ponomarev** Ensemble Learning for Low-level Hardware-supported.
Turning Bayesian Model Averaging Into Bayesian Model Combination
Ensemble Learning (2), Tree and Forest Classification and Regression Tree Bagging of trees Random Forest.
