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IDA
2010
Springer
15 years 4 months ago
Multi-dimensional data construction method with its application to learning from small-sample-sets
Insufficient training data is one of the major problems in neural network learning, because it leads to poor learning performance. In order to enhance an intelligent learning proc...
Hsiao-Fan Wang, Chun-Jung Huang
ICASSP
2011
IEEE
14 years 9 months ago
Social norm and long-run learning in peer-to-peer networks
We start by formulating the resource sharing in peer-to-peer (P2P) networks as a random-matching gift-giving game, where self-interested peers aim at maximizing their own long-ter...
Yu Zhang, Mihaela van der Schaar
ICML
2007
IEEE
16 years 6 months ago
Asymptotic Bayesian generalization error when training and test distributions are different
In supervised learning, we commonly assume that training and test data are sampled from the same distribution. However, this assumption can be violated in practice and then standa...
Keisuke Yamazaki, Klaus-Robert Müller, Masash...
ICALT
2009
IEEE
16 years 7 days ago
Integrating Co-design Practices into the Development of Mobile Science Collaboratories
Scientific practices increasingly incorporate sensors for data capture, information visualization for data analysis, and low-cost mobile devices for fieldbased inquiries incorpora...
Daniel Spikol, Marcelo Milrad, Heidy Maldonado, Ro...
ICALT
2005
IEEE
15 years 11 months ago
Predicting Students' Marks in Hellenic Open University
The ability to provide assistance for a student at the appropriate level is invaluable in the learning process. Not only does it aid the student’s learning process but also prev...
Sotiris B. Kotsiantis, Panayiotis E. Pintelas