1915 search results - page 114 / 383 » Computing LTS Regression for Large Data Sets |
ECML
2004
Springer
14 years 1 months ago
2004
Springer
The kernel function plays a central role in kernel methods. Most existing methods can only adapt the kernel parameters or the kernel matrix based on empirical data. Recently, Ong e...
ISVC
2010
Springer
13 years 7 months ago
2010
Springer
Abstract. Expanding on our previously developed method for inserting synthetic objects into clinical computed tomography (CT) data, we model a set of eight clinical tumors that spa...
PODC
2010
ACM
13 years 11 months ago
2010
ACM
Low overhead analysis of large distributed data sets is necessary for current data centers and for future sensor networks. In such systems, each node holds some data value, e.g., ...
CLOUDCOM
2010
Springer
13 years 7 months ago
2010
Springer
Applying Cloud computing techniques for analyzing large data sets has shown promise in many data-driven scientific applications. Our approach presented here is to use Cloud comput...
KDD
1994
ACM
14 years 1 months ago
1994
ACM
We applied TETRAD II, a causal discovery program developed in Carnegie Mellon University's Department of Philosophy, to a database containing information on 204 U.S. colleges...