19 search results - page 1 / 4 » Regularities in Learning Defect Predictors |
PROFES
2010
Springer
13 years 8 months ago
2010
Springer
Collecting large consistent data sets for real world software projects is problematic. Therefore, we explore how little data are required before the predictor performance plateaus...
PROMISE
2010
12 years 11 months ago
2010
BACKGROUND: Defect predictors learned from static code measures can isolate code modules with a higher than usual probability of defects. AIMS: To improve those learners by focusi...
ICPR
2000
IEEE
14 years 5 months ago
2000
IEEE
This paper addresses detection of imperfections in repetitive regular structures (textures). Humans can easily find such defects without prior knowledge of the `good' pattern...
CORR
2007
Springer
13 years 4 months ago
2007
Springer
— The problem of statistical learning is to construct a predictor of a random variable Y as a function of a related random variable X on the basis of an i.i.d. training sample fr...
JMLR
2010
12 years 11 months ago
2010
Given several related learning tasks, we propose a nonparametric Bayesian model that captures task relatedness by assuming that the task parameters (i.e., predictors) share a late...