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» An Introduction to Transfer Learning
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HICSS
2009
IEEE
122views Biometrics» more  HICSS 2009»
14 years 5 months ago
Impacts of Organizational Learning and Knowledge Transfer on Investment Decisions under Uncertainty
Investments in innovative technologies face uncertainties and are often made in stages. We develop a multi-period game-theoretical model where the potential of a new technology is...
Xianjun Geng, Lihui Lin, Andrew B. Whinston
ICML
2007
IEEE
14 years 11 months ago
Boosting for transfer learning
Traditional machine learning makes a basic assumption: the training and test data should be under the same distribution. However, in many cases, this identicaldistribution assumpt...
Wenyuan Dai, Qiang Yang, Gui-Rong Xue, Yong Yu
IJCAI
2007
14 years 11 days ago
Transferring Learned Control-Knowledge between Planners
As any other problem solving task that employs search, AI Planning needs heuristics to efficiently guide the problem-space exploration. Machine learning (ML) provides several tec...
Susana Fernández, Ricardo Aler, Daniel Borr...
CVPR
2010
IEEE
14 years 7 months ago
Safety in Numbers: Learning Categories from Few Examples with Multi Model Knowledge Transfer
Learning object categories from small samples is a challenging problem, where machine learning tools can in general provide very few guarantees. Exploiting prior knowledge may be ...
Tatiana Tommasi, Francesco Orabona, Barbara Caputo
GECCO
2004
Springer
106views Optimization» more  GECCO 2004»
14 years 4 months ago
Run Transferable Libraries - Learning Functional Bias in Problem Domains
Abstract. This paper introduces the notion of Run Transferable Libraries, a mechanism to pass knowledge acquired in one GP run to another. We demonstrate that a system using these ...
Maarten Keijzer, Conor Ryan, Mike Cattolico