In applications like location-based services, sensor monitoring and biological databases, the values of the database items are inherently uncertain in nature. An important query fo...
Reynold Cheng, Jinchuan Chen, Mohamed F. Mokbel, C...
It is generally assumed in the traditional formulation of supervised learning that only the outputs data are uncertain. However, this assumption might be too strong for some learni...
Patrick Dallaire, Camille Besse, Brahim Chaib-draa
We study the problem of clustering uncertain objects whose locations are described by probability density functions (pdf). We show that the UK-means algorithm, which generalises t...
Ben Kao, Sau Dan Lee, David W. Cheung, Wai-Shing H...
: The integration and usage of uncertain sensor data in workflows is a difficult problem. In this paper we describe these difficulties which result from the combination of very dis...
Traditional machine learning algorithms assume that data are exact or precise. However, this assumption may not hold in some situations because of data uncertainty arising from mea...
Jiangtao Ren, Sau Dan Lee, Xianlu Chen, Ben Kao, R...