172 search results - page 6 / 35 » Scaling up Analogical Learning |
SASO
2008
IEEE
14 years 2 months ago
2008
IEEE
In the DEZENT1 project we had established a distributed base model for negotiating electric power from widely distributed (renewable) power sources on multiple levels in successio...
ICML
2008
IEEE
14 years 8 months ago
2008
IEEE
Tsochantaridis et al. (2005) proposed two formulations for maximum margin training of structured spaces: margin scaling and slack scaling. While margin scaling has been extensivel...
KDD
2010
ACM
13 years 6 months ago
2010
ACM
Scalable similarity search is the core of many large scale learning or data mining applications. Recently, many research results demonstrate that one promising approach is creatin...
NIPS
2007
13 years 9 months ago
2007
This paper investigates the application of randomized algorithms for large scale SVM learning. The key contribution of the paper is to show that, by using ideas random projections...
DSRT
2006
IEEE
14 years 2 months ago
2006
IEEE
The vision of grid computing is to make computational power, storage capacity, data and applications available to users as readily as electricity and other utilities. Grid infrast...