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A Sparse Structure Learning Algorithm for Gaussian Bayesian Network Identification from High-Dimensional Data
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Shuai Huang,Jing Li,Jieping Ye,Adam Fleisher,Kewei Chen,Teresa Wu,Eric Reiman,the Alzheimer's Disease Neuroimaging Initiative
Issue Date:June 2013
pp. 1328-1342
Structure learning of Bayesian Networks (BNs) is an important topic in machine learning. Driven by modern applications in genetics and brain sciences, accurate and efficient learning of large-scale BN structures from high-dimensional data becomes a challen...
 
The Receiver Operational Characteristic for Binary Classification with Multiple Indices and Its Application to the Neuroimaging Study of Alzheimer's Disease
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics
By Xia Wu, Juan Li,Napatkamon Ayutyanont,Hillary Protas,William Jagust,Adam Fleisher,Eric Reiman, Li Yao, Kewei Chen
Issue Date:January 2013
pp. 173-180
Given a single index, the receiver operational characteristic (ROC) curve analysis is routinely utilized for characterizing performances in distinguishing two conditions/groups in terms of sensitivity and specificity. Given the availability of multiple dat...
 
The Receiver Operational Characteristic for Binary Classification with Multiple Indices and Its Application to the Neuroimaging Study of Alzheimer's Disease
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
By Adam Fleisher, Eric Reiman, Hillary Protas, Juan Li, Kewei Chen, Li Yao, Napatkamon Ayutyanont, William Jagust, Xia Wu
Issue Date:January 2013
pp. 173-180
Given a single index, the receiver operational characteristic (ROC) curve analysis is routinely utilized for characterizing performances in distinguishing two conditions/groups in terms of sensitivity and specificity. Given the availability of multiple dat...
     
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