246 search results - page 44 / 50 » On Optimal Learning Algorithms for Multiplicity Automata |
IDEAS
2005
IEEE
14 years 2 months ago
2005
IEEE
Adaptive operator scheduling algorithms for continuous query processing are usually designed to serve a single performance objective, such as minimizing memory usage or maximizing...
PPSN
2010
Springer
13 years 6 months ago
2010
Springer
The target of machine learning is a predictive model that performs well on unseen data. Often, such a model has multiple intended uses, related to different points in the tradeoff ...
ICSM
2006
IEEE
14 years 2 months ago
2006
IEEE
The test case execution order affects the time at which the objectives of testing are met. If the objective is fault detection, an inappropriate execution order might reveal most ...
SIGIR
2006
ACM
14 years 2 months 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...
CVPR
2009
IEEE
15 years 3 months ago
2009
IEEE
In recent years, large databases of natural images have
become increasingly popular in the evaluation of face and
object recognition algorithms. However, Pinto et al. previously
...