User talk:Xxiong
From Cohen Courses
Revision as of 00:04, 29 September 2010 by PastStudents (talk | contribs)
Contents
Project Proposal I
Team Members
Xuehan Xiong [xxiong@andrew.cmu.edu]
Goal
1. A revisit of boosting.
2.
Motivation
1. In the traditional boosting, within each iteration the mis-classified samples are weighted more in the next round. However, these errors are made from training data. In my algorithm, I will give more weight to the data that are mis-labeled from cross-validation process, as in stacking.
2.
Dataset
Superpowers
Experience with CRF and stacking in the domain of computer vision.
What question you want to answer
1. I want to know whether the proposed algorithm will outperform the traditional Ada-boost.
2.
