EasySVM: A visual analysis approach for open-box support vector machines

Y Ma, W Chen, X Ma, J Xu, X Huang… - Computational Visual …, 2017 - Springer
Support vector machines (SVMs) are supervised learning models traditionally employed for
classification and regression analysis. In classification analysis, a set of training data is …

[PDF][PDF] 1 Active Learning

R Ganti - Citeseer
The problem of active learning is extremely important in domains where labeled data is
expensive to gather. My work in active learning has been motivated by the fact that, active …