基本信息
浏览量:80
职业迁徙
个人简介
My main area of research is machine learning algorithms, and I am particularly interested in applications involving large real world data sets. For the past few years I've been working on projects related to search.
See my LinkedIn profile for the most up-to-date information about me.
My PhD thesis topic concerned modeling additive structure and detecting statistical interactions: it proposed an algorithm for these problems - Additive Groves of regression trees. This method was used in winning entries of several major data mining competitions. It is released and supported as a part of the TreeExtra package, see the link below.
研究兴趣
论文共 11 篇作者统计合作学者相似作者
按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
Scaling up Machine Learning: Parallel and Distributed Approaches (2011)
KDD-CUP'09: Proceedings of the 2009 International Conference on KDD-Cup 2009 - Volume 7pp.101-109, (2009)
引用15浏览0EI引用
15
0
Miami, FLpp.64-69E, (2009)
Proceedings of the 25th international conference on Machine learningpp.1000-1007, (2008)
Modeling additive structure and detecting interactions with groves of trees (2008)
引用23浏览0EI引用
23
0
Hong Kong (2007): 1070-1075
MACHINE LEARNING: ECML 2007, PROCEEDINGS (2007): 323-334
加载更多
作者统计
合作学者
合作机构
D-Core
- 合作者
- 学生
- 导师
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn