1915 search results - page 55 / 383 » Computing LTS Regression for Large Data Sets |
MINENET
2006
ACM
14 years 3 months ago
2006
ACM
We examine the ability to exploit the hierarchical structure of Internet addresses in order to endow network agents with predictive capabilities. Specifically, we consider Suppor...
PADL
2009
Springer
14 years 9 months ago
2009
Springer
Analysis of biological data often involves large data sets and computationally expensive algorithms. Databases of biological data continue to grow, leading to an increasing demand ...
NECO
2000
13 years 8 months ago
2000
The Bayesian committee machine (BCM) is a novel approach to combining estimators which were trained on different data sets. Although the BCM can be applied to the combination of a...
DIS
2004
Springer
14 years 2 months ago
2004
Springer
The two main challenges typically associated with mining data streams are concept drift and data contamination. To address these challenges, we seek learning techniques and models ...
DCC
2004
IEEE
14 years 8 months ago
2004
IEEE
3D neuro-anatomical images and other volumetric data sets are important in many scientific and biomedical fields. Since such sets may be extremely large, a scalable compression me...