Information Technology seminars
Semi-Naive Bayesian Classification
- Date and time:
- 14/10/2009, 14:00
- Location:
- Building: 26, Room: 135, Clayton Campus
- Presenters:
- Fei Zheng
Centre for Research in Intelligent Systems
Faculty of IT, Monash University
- Abstract:
- The success and popularity of naive Bayes has led to a field of research exploring algorithms that seek to retain its attractive strengths while enhancing accuracy by relaxing the attribute conditional independence assumption. This talk will analyse strengths and weaknesses of previous techniques, which we call semi-naive Bayesian methods, and present algorithms that compete favourably with state-of-the-art semi-naïve Bayesian methods.
- Speaker biographies:
- Fei Zheng received the Ph.D. degree in Computer Science in 2008 from Monash University. She is a Research Fellow in the Clayton School of Information Technology. Her research interests include machine learning, data mining and bioinformatics.
- Enquiries:
- Graham Farr
