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SDM
2010
SIAM
149views Data Mining» more  SDM 2010»
14 years 11 months ago
Temporal Collaborative Filtering with Bayesian Probabilistic Tensor Factorization
Real-world relational data are seldom stationary, yet traditional collaborative filtering algorithms generally rely on this assumption. Motivated by our sales prediction problem, ...
Liang Xiong, Xi Chen, Tzu-Kuo Huang, Jeff Schneide...
HCI
2007
14 years 11 months ago
Can Virtual Humans Be More Engaging Than Real Ones?
: Emotional bonds don’t arise from a simple exchange of facial displays, but often emerge through the dynamic give and take of face-to-face interactions. This article explores th...
Jonathan Gratch, Ning Wang, Anna Okhmatovskaia, Fr...
ICWS
2008
IEEE
14 years 11 months ago
A Temporal Data-Mining Approach for Discovering End-to-End Transaction Flows
Effective management of Web Services systems relies on accurate understanding of end-to-end transaction flows, which may change over time as the service composition evolves. This ...
Ting Wang, Chang-Shing Perng, Tao Tao, Chunqiang T...
LREC
2008
154views Education» more  LREC 2008»
14 years 11 months ago
A Comparative Evaluation of Term Recognition Algorithms
Automatic Term recognition (ATR) is a fundamental processing step preceding more complex tasks such as semantic search and ontology learning. From a large number of methodologies ...
Ziqi Zhang, José Iria, Christopher Brewster...
NIPS
2007
14 years 11 months ago
Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation
A situation where training and test samples follow different input distributions is called covariate shift. Under covariate shift, standard learning methods such as maximum likeli...
Masashi Sugiyama, Shinichi Nakajima, Hisashi Kashi...