1915 search results - page 49 / 383 » Computing LTS Regression for Large Data Sets |
AVI
2008
13 years 11 months ago
2008
An emerging trend in Web computing aims at collecting and integrating distributed data. For instance, community driven efforts recently have build ontological repositories made of...
HIS
2004
13 years 10 months ago
2004
Boosting is a general method for improving the accuracy of a learning algorithm. AdaBoost, short form for Adaptive Boosting method, consists of repeated use of a weak or a base le...
SDM
2009
SIAM
14 years 6 months ago
2009
SIAM
In this paper, we propose GAD (General Activity Detection) for fast clustering on large scale data. Within this framework we design a set of algorithms for different scenarios: (...
KDD
2010
ACM
13 years 11 months ago
2010
ACM
Recent advances in linear classification have shown that for applications such as document classification, the training can be extremely efficient. However, most of the existing t...
ICCS
2007
Springer
14 years 3 months ago
2007
Springer
Assimilation of spatially- and temporally-distributed state observations into simulations of dynamical systems stemming from discretized PDEs leads to inverse problems with high-di...