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Displaying 1-7 out of 7 total
Multitask Learning with Feature Selection for Groups of Related Tasks
Found in: 2013 IEEE International Conference on Data Mining (ICDM)
By Meenakshi Mishra,Jun Huan
Issue Date:December 2013
pp. 1157-1162
Multitask learning has been thoroughly proven to improve the generalization performance given a set of related tasks. Most multitask learning algorithm assume that all tasks are related. However, if all the tasks are not related, negative transfer of infor...
 
Text Categorization of Biomedical Data Sets Using Graph Kernels and a Controlled Vocabulary
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics
By Said Bleik,Meenakshi Mishra,Jun Huan,Min Song
Issue Date:September 2013
pp. 1211-1217
Recently, graph representations of text have been showing improved performance over conventional bag-of-words representations in text categorization applications. In this paper, we present a graph-based representation for biomedical articles and use graph ...
 
Knowledge Transfer with Low-Quality Data: A Feature Extraction Issue
Found in: IEEE Transactions on Knowledge and Data Engineering
By Brian Quanz,Jun (Luke) Huan,Meenakshi Mishra
Issue Date:October 2012
pp. 1789-1802
Effectively utilizing readily available auxiliary data to improve predictive performance on new modeling tasks is a key problem in data mining. In this research, the goal is to transfer knowledge between sources of data, particularly when ground-truth info...
 
Bayesian Classifiers for Chemical Toxicity Prediction
Found in: Bioinformatics and Biomedicine, IEEE International Conference on
By Meenakshi Mishra,Brian Potetz,Jun Huan
Issue Date:November 2011
pp. 595-599
A major concern across the globe is the growing number of new chemicals that are brought to use on a regular basis without having any knowledge about their toxic behavior. The challenge here is that the growth in the number of chemicals is fast, and the tr...
 
Knowledge transfer with low-quality data: A feature extraction issue
Found in: Data Engineering, International Conference on
By Brian Quanz,Jun Huan,Meenakshi Mishra
Issue Date:April 2011
pp. 769-779
Effectively utilizing readily available auxiliary data to improve predictive performance on new modeling tasks is a key problem in data mining. In this research the goal is to transfer knowledge between sources of data, particularly when ground truth infor...
 
Text Categorization of Biomedical Data Sets Using Graph Kernels and a Controlled Vocabulary
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
By Jun Huan, Meenakshi Mishra, Min Song, Said Bleik
Issue Date:September 2013
pp. 1211-1217
Recently, graph representations of text have been showing improved performance over conventional bag-of-words representations in text categorization applications. In this paper, we present a graph-based representation for biomedical articles and use graph ...
     
Biomedical text categorization with concept graph representations using a controlled vocabulary
Found in: Proceedings of the 11th International Workshop on Data Mining in Bioinformatics (BIOKDD '12)
By Jun Huan, Meenakshi Mishra, Min Song, Said Bleik
Issue Date:August 2012
pp. 26-32
Recent work using graph representations for text categorization has shown promising performance over conventional bag-of-words representation of text documents. In this paper we investigate a graph representation of texts for the task of text categorizatio...
     
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