130 search results - page 17 / 26 » Diversified SVM Ensembles for Large Data Sets |
156
click to vote
SIGIR
2006
ACM
16 years 7 hour ago
2006
ACM
Large scale learning is often realistic only in a semi-supervised setting where a small set of labeled examples is available together with a large collection of unlabeled data. In...
164
click to vote
KDD
2009
ACM
16 years 25 days ago
2009
ACM
Distributed PRocessing in Mobile Environments (DPRiME) is a framework for processing large data sets across an ad-hoc network. Developed to address the shortcomings of Google’s ...
190
click to vote
MM
2005
ACM
15 years 11 months ago
2005
ACM
As one of the important research areas of multimodal interaction, sign language recognition (SLR) has attracted increasing interest. In SLR, especially on medium or large vocabula...
161
click to vote
KDD
1999
ACM
15 years 10 months ago
1999
ACM
We propose to use AdaBoost to efficiently learn classifiers over very large and possibly distributed data sets that cannot fit into main memory, as well as on-line learning wher...
162
click to vote
MLDM
2007
Springer
16 years 5 days ago
2007
Springer
Support vector machine (SVM) has received much attention in feature selection recently because of its ability to incorporate kernels to discover nonlinear dependencies between feat...