Learning Bayesian networks from data is an N-P hard problem with important practical applications. Several researchers have designed algorithms to overcome the computational comple...
With the phenomenal success of networking sites (e.g., Facebook, Twitter and LinkedIn), social networks have drawn substantial attention. On online social networking sites, link r...
Zhijun Yin, Manish Gupta, Tim Weninger, Jiawei Han
Solving linear regression problems based on the total least-squares (TLS) criterion has well-documented merits in various applications, where perturbations appear both in the data...
Numerical interpolation and approximation are powerful tools to solve real world application problems. To take data measurement errors into considerations of interpolating a d deg...
In a potential distributed application, Automobile Tracking System (ATS), automobile location data is continuously generated, kept in a distributed manner. As large amount of traff...
Jinsong Han, Jun Miao, Jizhong Zhao, Jinpeng Huai,...