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Displaying 1-4 out of 4 total
An Adaptive Fusion Algorithm for Spam Detection
Found in: IEEE Intelligent Systems
By Congfu Xu,Baojun Su,Yunbiao Cheng,Weike Pan,Li Chen
Issue Date:July 2014
pp. 2-8
Spam detection has become a critical component in various online systems such as email services, advertising engines, social media sites, and so on. Here, the authors use email services as an example, and present an adaptive fusion algorithm for spam detec...
Bird Flu Outbreak Prediction via Satellite Tracking
Found in: IEEE Intelligent Systems
By Yuanchun Zhou,Mingjie Tang,Weike Pan,Jinyan Li,Weihang Wang,Jing Shao,Liang Wu,Jianhui Li,Qiang Yang,Baoping Yan
Issue Date:July 2014
pp. 10-17
Advanced satellite tracking technologies have collected huge amounts of wild bird migration data. Biologists use these data to understand dynamic migration patterns, study correlations between habitats, and predict global spreading trends of avian influenz...
Accelerated Gradient Method for Multi-task Sparse Learning Problem
Found in: Data Mining, IEEE International Conference on
By Xi Chen, Weike Pan, James T. Kwok, Jaime G. Carbonell
Issue Date:December 2009
pp. 746-751
Many real world learning problems can be recast as multi-task learning problems which utilize correlations among different tasks to obtain better generalization performance than learning each task individually. The feature selection problem in multi-task s...
Interaction-Rich Transfer Learning for Collaborative Filtering with Heterogeneous User Feedbacks
Found in: IEEE Intelligent Systems
By Weike Pan
Issue Date:February 2014
pp. 1
A real recommender system can usually make use of more than one type of users' feedbacks, e.g., numerical ratings and binary ratings, in order to learn users' true preferences. In a recent work [10], a transfer learning algorithm called TCF is proposed to ...