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ECML
2006
Springer
15 years 7 months ago
Margin-Based Active Learning for Structured Output Spaces
In many complex machine learning applications there is a need to learn multiple interdependent output variables, where knowledge of these interdependencies can be exploited to impr...
Dan Roth, Kevin Small
ALT
2009
Springer
15 years 7 months ago
Learning and Domain Adaptation
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...
Yishay Mansour
ICCV
2009
IEEE
15 years 1 months ago
Kernel map compression using generalized radial basis functions
The use of Mercer kernel methods in statistical learning theory provides for strong learning capabilities, as seen in kernel principal component analysis and support vector machin...
Omar Arif, Patricio A. Vela
ICALT
2003
IEEE
15 years 9 months ago
Initializing Student Models in Web-Based ITSs: A Generic Approach
The issue of initializing the model of a new student is of great importance for educational applications that aim at offering individualized support to students. In this paper we ...
Victoria Tsiriga, Maria Virvou
CIKM
2003
Springer
15 years 9 months ago
Lessons from the implementation of an adaptive parts acquisition ePortal
In recent work we have developed a novel approach to the design and implementation of an online portal (ePortal) to help application engineers find replacements for electronic par...
Rafael Alonso, Jeffrey A. Bloom, Hua Li