495 search results - page 17 / 99 » Approximation algorithms for budgeted learning problems |
ICML
2008
IEEE
14 years 9 months ago
2008
IEEE
After a classifier is trained using a machine learning algorithm and put to use in a real world system, it often faces noise which did not appear in the training data. Particularl...
NIPS
2004
13 years 9 months ago
2004
Various problems in machine learning, databases, and statistics involve pairwise distances among a set of objects. It is often desirable for these distances to satisfy the propert...
ESA
2007
Springer
14 years 10 days ago
2007
Springer
We consider the problem of pricing items so as to maximize the profit made from selling these items. An instance is given by a set E of n items and a set of m clients, where each c...
VLDB
2007
ACM
14 years 8 months ago
2007
ACM
We present STAR, a self-tuning algorithm that adaptively sets numeric precision constraints to accurately and efficiently answer continuous aggregate queries over distributed data...
ICML
1999
IEEE
14 years 9 months ago
1999
IEEE
Most machine learning algorithms share the following drawback: they only output bare predictions but not the con dence in those predictions. In the 1960s algorithmic information t...