Abstract- The large majority of existing clustering algorithms are centered around the notion of a feature, that is, individual data items are represented by their intrinsic proper...
The scarcity of manually labeled data for supervised machine learning methods presents a significant limitation on their ability to acquire knowledge. The use of kernels in Suppor...
Mahesh Joshi, Ted Pedersen, Richard Maclin, Sergue...
This paper addresses the issue of the explanation of the result given to the end-user by a classifier, when it is used as a decision support system. We consider machine learning cl...
In this paper we describe a software tool that allows investigators to make comparisons across different online forums and media by analyzing word counts in userspecified categori...
Adam D. I. Kramer, Susan R. Fussell, Leslie D. Set...
Increasingly, scientists have begun to tackle gene functions and other complex regulatory processes by studying organisms at the global scales for various levels of biological org...
Cathy H. Wu, Hongzhan Huang, Anastasia N. Nikolska...