922 search results - page 54 / 185 » Learning Gaussian Process Models from Uncertain Data |
ACL
2012
11 years 11 months ago
2012
Most information extraction (IE) systems identify facts that are explicitly stated in text. However, in natural language, some facts are implicit, and identifying them requires â€...
KDD
2009
ACM
14 years 9 months ago
2009
ACM
This paper addresses Named Entity Mining (NEM), in which we mine knowledge about named entities such as movies, games, and books from a huge amount of data. NEM is potentially use...
ISCC
2006
IEEE
14 years 2 months ago
2006
IEEE
Online monitoring of a physical phenomenon over a geographical area is a popular application of sensor networks. Networks representative of this class of applications are typicall...
IDA
2003
Springer
14 years 1 months ago
2003
Springer
Abstract. Many examples exist of multivariate time series where dependencies between variables change over time. If these changing dependencies are not taken into account, any mode...
ICML
2005
IEEE
14 years 9 months ago
2005
IEEE
The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...