Han-Shen Huang

发表

The hybrid Poisson aspect model for personalized shopping recommendation

Chun-Nan Hsu, Hao-Hsiang Chung, Han-Shen Huang, 2003, Third IEEE International Conference on Data Mining.

Periodic step-size adaptation in second-order gradient descent for single-pass on-line structured learning

Yuh-Jye Lee, Chun-Nan Hsu, Yu-Ming Chang, 2009, Machine Learning.

Mining Skewed and Sparse Transaction Data for Personalized Shopping Recommendation

Chun-Nan Hsu, Hao-Hsiang Chung, Han-Shen Huang, 2004, Machine Learning.

Analysis and Enhancement of Conditional Random Fields Gene Mention Taggers in BioCreative II Challenge Evaluation

Chun-Nan Hsu, Yu-Ming Chang, Cheng-Ju Kuo, 2007, LBM.

A recommender for targeted advertisement of unsought products in e-commerce

Jane Yung-jen Hsu, Chun-Nan Hsu, Han-Shen Huang, 2005, Seventh IEEE International Conference on E-Commerce Technology (CEC'05).

Global and componentwise extrapolations for accelerating training of Bayesian networks and conditional random fields

Chun-Nan Hsu, Yu-Ming Chang, Han-Shen Huang, 2009, Data Mining and Knowledge Discovery.

Exploring Match Scores to Boost Precision of Gene Normalization.

Chun-Nan Hsu, Yu-Ming Chang, Kuan-Ting Lin, 2007 .

Architecture and implementation of a multisensor system for robotic assembly environment

Li-Chen Fu, Han-Shen Huang, Yi-Tin Ho, 1996, Proceedings of the 1996 IEEE IECON. 22nd International Conference on Industrial Electronics, Control, and Instrumentation.

Componentwise triple jump acceleration for training linear SVM.

Yu-Ming Chang, Han-Shen Huang, Chun-Nan Hsu, 2008, ICML 2008.

Training Conditional Random Fields by Periodic Step Size Adaptation for Large-Scale Text Mining

Chun-Nan Hsu, Yu-Ming Chang, Han-Shen Huang, 2007, Seventh IEEE International Conference on Data Mining (ICDM 2007).

A Geometric Approach to Anytime Constraint Solving for TCSPs

Jane Yung-jen Hsu, Han-Shen Huang, Hong-ming Yeh, 1998, PRICAI.

Global and Componentwise Extrapolation for Accelerating Data Mining from Large Incomplete Data Sets with the EM Algorithm

Chun-Nan Hsu, Han-Shen Huang, Bo-Hou Yang, 2006, Sixth International Conference on Data Mining (ICDM'06).

Periodic Step Size Adaptation for Single Pass On-line Learning

Yuh-Jye Lee, Chun-Nan Hsu, Yu-Ming Chang, 2009, NIPS.

Integrating high dimensional bi-directional parsing models for gene mention tagging

Chun-Nan Hsu, I-Fang Chung, Yu-Ming Chang, 2008, ISMB.

Parameter learning of personalized trust models in broker-based distributed trust management

Jane Yung-jen Hsu, Kwei-Jay Lin, Wan-rong Jih, 2006, Inf. Syst. Frontiers.

Detecting Chinese Wish Messages in Social Media: An Empirical Study

Jane Yung-jen Hsu, George Chang, Han-Shen Huang, 2013, ICWSM.

Rapid setup of system control in a flexible automated production system

Jane Yung-jen Hsu, Li-Chen Fu, Han-Shen Huang, 1997, Proceedings of International Conference on Robotics and Automation.

Accelerating EM by targeted aggressive double extrapolation

Ren-Yuan Lyu, Chun-Nan Hsu, Han-Shen Huang, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Triple jump acceleration for the EM algorithm

Chun-Nan Hsu, Han-Shen Huang, Bou-Ho Yang, 2005, Fifth IEEE International Conference on Data Mining (ICDM'05).

TJ2aEM: Targeted Aggressive Extrapolation Method for Accelerating the EM Algorithm

Chun-Nan Hsu, Han-Shen Huang, Bo-Hou Yang, 2007 .

Item-Triggered Recommendation for Identifying Potential Customers of Cold Sellers in Supermarkets

Jane Yung-jen Hsu, Chun-Nan Hsu, Han-Shen Huang, 2004 .