Bagging and boosting are two popular ensemble methods that achieve better accuracy than a single classifier. These techniques have limitations on massive datasets, as the size of t...
Nitesh V. Chawla, Lawrence O. Hall, Kevin W. Bowye...
So far few theoretical works investigated the conditions under which specific fusion rules can work well, and a unifying framework for comparing rules of different complexity is cl...
This paper proposes a novel user intention simulation method which is a data-driven approach but able to integrate diverse user discourse knowledge together to simulate various ty...
Sangkeun Jung, Cheongjae Lee, Kyungduk Kim, Gary G...
Recent work demonstrates the potential for extracting patterns from users' behavior as detected by sensors. Since there is currently no generalized framework for reasoning abo...
Nasim Mahmud, Jo Vermeulen, Kris Luyten, Karin Con...
This paper proposes a novel user intention simulation method which is data-driven but can integrate diverse user discourse knowledge to simulate various types of user behaviors. A...
Sangkeun Jung, Cheongjae Lee, Kyungduk Kim, Donghy...