801 search results - page 40 / 161 » Machine Learning with Data Dependent Hypothesis Classes |
ALT
2009
Springer
13 years 12 months ago
2009
Springer
Domain adaptation is a fundamental learning problem where one wishes to use labeled data from one or several source domains to learn a hypothesis performing well on a different, y...
JMLR
2012
11 years 11 months ago
2012
We propose a new method for comparing learning algorithms on multiple tasks which is based on a novel non-parametric test that we call the Poisson binomial test. The key aspect of...
ML
1998
ACM
13 years 8 months ago
1998
ACM
During a project examining the use of machine learning techniques for oil spill detection, we have encountered several essential questions that we believe deserve the attention of ...
ICML
2002
IEEE
14 years 9 months ago
2002
IEEE
We study generalization properties of linear learning algorithms and develop a data dependent approach that is used to derive generalization bounds that depend on the margin distr...
IJCAI
2007
13 years 10 months ago
2007
Some Statistical Software Testing approaches rely on sampling the feasible paths in the control flow graph of the program; the difficulty comes from the tiny ratio of feasible p...