890 search results - page 18 / 178 » Large Scale Online Learning |
136
click to vote
ECML
2006
Springer
15 years 3 months ago
2006
Springer
This paper presents a decomposition method for efficiently constructing 1-norm Support Vector Machines (SVMs). The decomposition algorithm introduced in this paper possesses many d...
127
click to vote
WWW
2009
ACM
16 years 2 months ago
2009
ACM
The explosion of online content has made the management of such content non-trivial. Web-related tasks such as web page categorization, news filtering, query categorization, tag r...
102
Voted
ICML
2008
IEEE
16 years 2 months ago
2008
IEEE
Sampling is a popular way of scaling up machine learning algorithms to large datasets. The question often is how many samples are needed. Adaptive stopping algorithms monitor the ...
140
click to vote
PETRA
2010
ACM
15 years 5 months ago
2010
ACM
Context-aware inter-vehicular communication is considered to be vital for inducing intelligence through the use of embedded computing devices inside vehicles. Vehicles in a scalab...
144
click to vote
SIGMOD
2012
ACM
13 years 4 months ago
2012
ACM
Most of the existing reachability indices perform well on small- to medium- size graphs, but reach a scalability bottleneck around one million vertices/edges. As graphs become inc...