Learning and exploiting context dependencies for robust recommendations

由 Yap, Ghim Eng
出版 2010

Dynamically Optimized Context in Recommender Systems

由 YAP, Ghim-Eng, TAN, Ah-Hwee, PANG, Hwee Hwa
出版 2005

Discovering and Exploiting Causal Dependencies for Robust Mobile Context-Aware Recommenders

由 YAP, Ghim-Eng, TAN, Ah-Hwee, PANG, Hwee Hwa
出版 2007

Explaining Inferences in Bayesian Networks

由 YAP, Ghim-Eng, TAN, Ah-Hwee, PANG, Hwee Hwa
出版 2008

Discovering Causal Dependencies in Mobile Context-Aware Recommenders

由 YAP, Ghim-Eng, TAN, Ah-Hwee, PANG, Hwee Hwa
出版 2006

Learning Causal Models for Noisy Biological Data Mining: An Application to Ovarian Cancer Detection

由 YAP, Ghim-Eng, TAN, Ah-Hwee, PANG, Hwee Hwa
出版 2007

Dynamically-optimized context in recommender systems

由 YAP, Ghim-Eng, TAN, Ah-hwee, PANG, Hwee-Hwa
出版 2005

Learning feature dependencies for noise correction in biomedical prediction

由 YAP, Ghim-Eng, TAN, Ah-Hwee, PANG, Hwee Hwa
出版 2011

A Bayesian approach integrating regional and global features for image semantic learning

由 NGUYEN, Luong-Dong, YAP, Ghim-Eng, LIU, Ying, TAN, Ah-hwee, CHIA, Liang-Tien, LIM, Joo-Hwee
出版 2009

Detecting click fraud in online advertising: A data mining approach

由 OENTARYO, Richard, LIM, Ee Peng, FINEGOLD, Michael, LO, David, ZHU, Feida, PHUA, Clifton, CHEU, Eng-Yeow, YAP, Ghim-Eng, SIM, Kelvin, PERERA, Kasun, NEUPANE, Bijay, FAISAL, Mustafa, AUNG, Zeyar, WOON, Wei Lee, CHEN, Wei, PATEL, Dhaval, BERRAR, Daniel
出版 2014