Ya-Hsuan Chang

According to our database, Ya-Hsuan Chang authored at least 3 papers between 2012 and 2013.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2013

Pairwise Regression with Upper Confidence Bound for Contextual Bandit with Multiple Actions.

Ya-Hsuan Chang, Hsuan-Tien Lin

Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2013

2012

Novel Models and Ensemble Techniques to Discriminate Favorite Items from Unrated Ones for Personalized Music Recommendation.

Todd G. McKenzie, Chun-Sung Ferng, Yao-Nan Chen, Chun-Liang Li, Cheng-Hao Tsai, Kuan-Wei Wu, Ya-Hsuan Chang, Chung-Yi Li, Wei-Shih Lin, Shu-Hao Yu, Chieh-Yen Lin, Po-Wei Wang, Chia-Mau Ni, Wei-Lun Su, Tsung-Ting Kuo, Chen-Tse Tsai, Po-Lung Chen, Rong-Bing Chiu, Ku-Chun Chou, Yu-Cheng Chou, Chien-Chih Wang, Chen-Hung Wu, Hsuan-Tien Lin, Chih-Jen Lin, Shou-De Lin

Proceedings of KDD Cup 2011 competition, San Diego, CA, USA, 2011, 2012

A Linear Ensemble of Individual and Blended Models for Music Rating Prediction.

Po-Lung Chen, Chen-Tse Tsai, Yao-Nan Chen, Ku-Chun Chou, Chun-Liang Li, Cheng-Hao Tsai, Kuan-Wei Wu, Yu-Cheng Chou, Chung-Yi Li, Wei-Shih Lin, Shu-Hao Yu, Rong-Bing Chiu, Chieh-Yen Lin, Chien-Chih Wang, Po-Wei Wang, Wei-Lun Su, Chen-Hung Wu, Tsung-Ting Kuo, Todd G. McKenzie, Ya-Hsuan Chang, Chun-Sung Ferng, Chia-Mau Ni, Hsuan-Tien Lin, Chih-Jen Lin, Shou-De Lin

Proceedings of KDD Cup 2011 competition, San Diego, CA, USA, 2011, 2012