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Displaying 1-14 out of 14 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...
 
MultiComm: Finding Community Structurein Multi-Dimensional Networks
Found in: IEEE Transactions on Knowledge and Data Engineering
By Xutao Li,Michael K. Ng, Yunming Ye
Issue Date:April 2014
pp. 929-941
The main aim of this paper is to develop a community discovery scheme in a multi-dimensional network for data mining applications. In online social media, networked data consists of multiple dimensions/entities such as users, tags, photos, comments, and st...
 
TW-k-means: Automated two-level variable weighting clustering algorithm for multiview data
Found in: IEEE Transactions on Knowledge and Data Engineering
By Xiaojun Chen, Xiaofei Xu,J. Z. Huang, Yunming Ye
Issue Date:April 2013
pp. 932-944
This paper proposes TW-k-means, an automated two-level variable weighting clustering algorithm for multiview data, which can simultaneously compute weights for views and individual variables. In this algorithm, a view weight is assigned to each view to ide...
 
Batch-Mode Active Learning with Semi-supervised Cluster Tree for Text Classification
Found in: 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT)
By Zhaocai Sun,Yunming Ye,Xiaofeng Zhang,Zhexue Huang,Shudong Chen,Zhi Liu
Issue Date:December 2012
pp. 388-395
In web mining, there are situations in which only few data is labeled which imposes difficulties on traditional web page classification algorithms. Active learning scheme is then proposed to sample the most representative unlabeled data, which are then ann...
 
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...
 
An Agglomerative Fuzzy K-means Approach to Building Decision Cluster Classifiers
Found in: Innovations in Bio-inspired Computing and Applications, International Conference on
By Yanfeng Zhang,Xiaofei Xu,Yingqun Liu,Xutao Li,Yunming Ye
Issue Date:December 2011
pp. 379-382
No summary available.
 
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...
 
Security Issues and Challenges for Cyber Physical System
Found in: IEEE-ACM International Conference on Green Computing and Communications and International Conference on Cyber, Physical and Social Computing
By Eric Ke Wang, Yunming Ye, Xiaofei Xu, S. M. Yiu, L. C. K. Hui, K. P. Chow
Issue Date:December 2010
pp. 733-738
In this paper, we investigate the security challenges and issues of cyber-physical systems. (1)We abstract the general workflow of cyber physical systems, (2)identify the possible vulnerabilities, attack issues, adversaries characteristics and a set of cha...
 
An Efficient and Secure Key Establishment Scheme for Wireless Sensor Network
Found in: Intelligent Information Technology and Security Informatics, International Symposium on
By Eric Ke Wang, Yunming Ye
Issue Date:April 2010
pp. 511-516
Traditional key management techniques, such as public key cryptography or key distribution center (e.g., Kerberos), are often not effective for wireless sensor networks for the serious limitations in terms of computational power, energy supply, network ban...
 
A Changing Window Approach to Exploring Gene Expression Patterns
Found in: Bioinformatics and Biomedicine, IEEE International Conference on
By Qiang Wang, Yunming Ye, Joshua Zhexue Huang
Issue Date:November 2008
pp. 301-304
This paper presents a changing window approach to exploring gene expression patterns in
 
Fuzzy K-Means with Variable Weighting in High Dimensional Data Analysis
Found in: Web-Age Information Management, International Conference on
By Qiang Wang, Yunming Ye, Joshua Zhexue Huang
Issue Date:July 2008
pp. 365-372
This paper presents a comparison study of the fuzzy k-means algorithm and a new variant with variable weighting in clustering high dimensional data. The fuzzy k-means algorithm is effective in discovering the clusters with overlapping boundaries. However, ...
 
Ontology-Based E-Catalog Matching for Integration of GDSN and EPCglobal Network
Found in: E-Business Engineering, IEEE International Conference on
By Joshua Zhexue Huang, Feilong Tang, Yunming Ye, George Huang, Minglu Li
Issue Date:October 2005
pp. 212-215
<p>EPCglobal network is aimed to capture the realtime dynamic information about the flow of goods in the global supply chain. The global data synchronization network (GDSN) can automatically synchronize the static product information among trading pa...
 
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...
     
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