716 search results - page 5 / 144 » Optimizing Sorting with Machine Learning Algorithms |
CORR
2010
Springer
13 years 6 months ago
2010
Springer
Abstract--We give sublinear-time approximation algorithms for some optimization problems arising in machine learning, such as training linear classifiers and finding minimum enclos...
STACS
2009
Springer
14 years 1 months ago
2009
Springer
We present a unified optimal semi-online algorithm for preemptive scheduling on uniformly related machines with the objective to minimize the makespan. This algorithm works for a...
BMCBI
2008
13 years 6 months ago
2008
Background: By using a standard Support Vector Machine (SVM) with a Sequential Minimal Optimization (SMO) method of training, Na
ICML
2008
IEEE
14 years 7 months ago
2008
IEEE
We have developed a new Linear Support Vector Machine (SVM) training algorithm called OCAS. Its computational effort scales linearly with the sample size. In an extensive empirica...
SIAMCOMP
2011
13 years 1 months ago
2011
We investigate ways in which an algorithm can improve its expected performance by fine-tuning itself automatically with respect to an arbitrary, unknown input distribution. We gi...