424 search results - page 25 / 85 » Boosted sampling: approximation algorithms for stochastic op... |
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
We propose a novel boosting algorithm which improves on current algorithms for weighted voting classification by striking a better balance between classification accuracy and the ...
ICASSP
2009
IEEE
14 years 2 months ago
2009
IEEE
When sampling signals below the Nyquist rate, efficient and accurate reconstruction is nevertheless possible, whenever the sampling system is well behaved and the signal is well ...
PR
2006
13 years 7 months ago
2006
In this paper we introduce a new embedding technique to find the linear projection that best projects labeled data samples into a new space where the performance of a Nearest Neig...
SDM
2007
SIAM
13 years 9 months ago
2007
SIAM
Consensus clustering has emerged as one of the principal clustering problems in the data mining community. In recent years the theoretical computer science community has generated...
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
We consider the general, widely applicable problem of selecting from n real-valued random variables a subset of size m of those with the highest means, based on as few samples as ...