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Displaying 1-5 out of 5 total
Cotransfer Learning Using Coupled Markov Chains with Restart
Found in: IEEE Intelligent Systems
By Qingyao Wu,Michael K. Ng,Yunming Ye
Issue Date:July 2014
pp. 26-33
This article studies cotransfer learning, a machine learning strategy that uses labeled data to enhance the classification of different learning spaces simultaneously. The authors model the problem as a coupled Markov chain with restart. The transition pro...
MultiFacTV: Finding modules from higher-order gene expression profiles with time dimension
Found in: 2012 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
By Xutao Li,Yunming Ye,Qingyao Wu,Michael K. Ng
Issue Date:October 2012
pp. 1-6
Module detection is an important task in bioinformatics which aims at finding a set of cells/genes that interact together to be responsible for some biological functionalities. In this paper, we propose a novel tensor factorization approach to finding modu...
Stratified Random Forest for Genome-wide Association Study
Found in: Bioinformatics and Biomedicine, IEEE International Conference on
By Qingyao Wu,Yunming Ye,Yang Liu,Michael Ng
Issue Date:November 2011
pp. 10-15
For high dimensional genome-wide association (GWA) case-control data of complex disease, there are usually a large portion of single-nucleotide polymorphisms (SNPs) that are irrelevant with the disease. A simple random sampling method in random forest usin...
Cluster tree based multi-label classification for protein function prediction
Found in: 2013 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
By Qingyao Wu,Yunming Ye,Xiaofeng Zhang,Shen-Shyang Ho
Issue Date:December 2013
pp. 513-516
Automatically assigning functions for unknown proteins is a key task in computational biology. Proteins in nature have multiple classes according to the functions they perform. Many efforts have been made to cast the protein function prediction into a mult...
Co-transfer learning via joint transition probability graph based method
Found in: Proceedings of the 1st International Workshop on Cross Domain Knowledge Discovery in Web and Social Network Mining (CDKD '12)
By Michael K. Ng, Qingyao Wu, Yunming Ye
Issue Date:August 2012
pp. 1-9
This paper studies a new machine learning strategy called co-transfer learning. Unlike many previous learning problems, we focus on how to use labeled data of different feature spaces to enhance the classification of different learning spaces simultaneousl...