266 search results - page 11 / 54 » Learning to Identify Unexpected Instances in the Test Set |
TSP
2010
13 years 2 months ago
2010
Sparse graphical models have proven to be a flexible class of multivariate probability models for approximating high-dimensional distributions. In this paper, we propose techniques...
JUCS
2008
13 years 7 months ago
2008
: This paper deals with a progressive learning method for symbol recognition which improves its own recognition rate when new symbols are recognized in graphic documents. We propos...
ICST
2009
IEEE
13 years 5 months ago
2009
IEEE
Measurement and detection of redundancy in test suites attempt to achieve test minimization which in turn can help reduce test maintenance costs, and to also ensure the integrity ...
BMCBI
2006
13 years 7 months ago
2006
Background: There are many methods for analyzing microarray data that group together genes having similar patterns of expression over all conditions tested. However, in many insta...
AUSAI
2003
Springer
14 years 18 days ago
2003
Springer
An important task in machine learning is determining which learning algorithm works best for a given data set. When the amount of data is small the same data needs to be used repea...