603 search results - page 7 / 121 » A theory of learning from different domains |
ICML
2004
IEEE
15 years 10 months ago
2004
IEEE
A fast-growing body of research in the AI and machine learning communities addresses learning in games, where there are multiple learners with different interests. This research a...
106
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SYNTHESE
2008
2008
How experimental algorithmics can benefit from Mayo's extensions to Neyman-Pearson theory of testing
14 years 9 months ago
Although theoretical results for several algorithms in many application domains were presented during the last decades, not all algorithms can be analyzed fully theoretically. Exp...
IADIS
2004
14 years 11 months ago
2004
The focus of this paper is on student learning theory. Use is made of an "analytic discovery tool" called Quantitative CyberQuest (QCQ) to help conceptualize the many go...
ALT
2009
Springer
15 years 1 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...
AAAI
2011
13 years 10 months ago
2011
Transfer learning allows knowledge to be extracted from auxiliary domains and be used to enhance learning in a target domain. For transfer learning to be successful, it is critica...