860 search results - page 12 / 172 » Lower Bounds on the Size of Test Data Sets |
PKDD
2010
Springer
13 years 5 months ago
2010
Springer
Active learning [1] is a branch of Machine Learning in which the learning algorithm, instead of being directly provided with pairs of problem instances and their solutions (their l...
AUSAI
2004
Springer
14 years 1 months ago
2004
Springer
Most propagation-based set constraint solvers approximate the set of possible sets that a variable can take by upper and lower bounds, and perform so-called set bounds propagation....
PAKDD
2009
ACM
14 years 5 days ago
2009
ACM
We propose a new method, called SimClus, for clustering with lower bound on similarity. Instead of accepting k the number of clusters to find, the alternative similarity-based app...
DATE
2009
IEEE
14 years 2 months ago
2009
IEEE
Abstract—Multiple-voltage is an effective dynamic power reduction design technique. Recent research has shown that testing for resistive bridging faults in such designs requires ...
PKDD
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. Partially ordered feature sets appear naturally in many classification settings with structured input instances, for example, when the data instances are graphs and a fe...