1 citations · 2 across the 6 of their papers we have counts for
3 papers · 1 filter
Active learning for binary classification with variable selection
Zhanfeng Wang, Yumi Kwon, Yuan-chin Ivan Chang
Modern computing and communication technologies can make data collection procedures very efficient. However, our ability to analyze large data sets and/or to extract information ou…
Fast Multi-Class Probabilistic Classifier by Sparse Non-parametric Density Estimation
Wan-Ping Nicole Chen, Yuan-chin Ivan Chang
The model interpretation is essential in many application scenarios and to build a classification model with a ease of model interpretation may provide useful information for furth…
Greedy Active Learning Algorithm for Logistic Regression Models
Hsiang-Ling Hsu, Yuan-Chin Ivan Chang, Ray-Bing Chen
We study a logistic model-based active learning procedure for binary classification problems, in which we adopt a batch subject selection strategy with a modified sequential experi…