589 search results - page 13 / 118 » Learning to Transfer Knowledge between Reference Systems |
ML
2010
ACM
14 years 7 months ago
2010
ACM
In several domains it is common to have data from different, but closely related problems. For instance, in manufacturing, many products follow the same industrial process but with...
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AAAI
2010
14 years 11 months ago
2010
Data sparsity is a major problem for collaborative filtering (CF) techniques in recommender systems, especially for new users and items. We observe that, while our target data are...
AAAI
2006
14 years 10 months ago
2006
Transfer learning concerns applying knowledge learned in one task (the source) to improve learning another related task (the target). In this paper, we use structure mapping, a ps...
AIED
2011
Springer
14 years 1 months ago
2011
Springer
: We present an automated detector that can predict a student’s future performance on a transfer post-test, a post-test involving related but different skills than the skills stu...
AAAI
2008
14 years 11 months ago
2008
Machine learning approaches to indoor WiFi localization involve an offline phase and an online phase. In the offline phase, data are collected from an environment to build a local...