68 citations · 400 across the 24 of their papers we have counts for
5 papers · 1 filter
Compatibility Family Learning for Item Recommendation and Generation
Yong-Siang Shih, Kai-Yueh Chang, Hsuan-Tien Lin +1
Compatibility between items, such as clothes and shoes, is a major factor among customer's purchasing decisions. However, learning "compatibility" is challenging due to (1) broader…
Dynamic Principal Projection for Cost-Sensitive Online Multi-Label Classification
Hong-Min Chu, Kuan-Hao Huang, Hsuan-Tien Lin
We study multi-label classification (MLC) with three important real-world issues: online updating, label space dimensional reduction (LSDR), and cost-sensitivity. Current MLC algor…
Soft Methodology for Cost-and-error Sensitive Classification
Te-Kang Jan, Da-Wei Wang, Chi-Hung Lin +1
Many real-world data mining applications need varying cost for different types of classification errors and thus call for cost-sensitive classification algorithms. Existing algorit…
libact: Pool-based Active Learning in Python
Yao-Yuan Yang, Shao-Chuan Lee, Yu-An Chung +3
libact is a Python package designed to make active learning easier for general users. The package not only implements several popular active learning strategies, but also features…
Active Sampling of Pairs and Points for Large-scale Linear Bipartite Ranking
Wei-Yuan Shen, Hsuan-Tien Lin
Bipartite ranking is a fundamental ranking problem that learns to order relevant instances ahead of irrelevant ones. The pair-wise approach for bi-partite ranking construct a quadr…