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» Learning and using relational theories
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CCR
2010
156views more  CCR 2010»
15 years 6 months ago
Evolvable network architectures: what can we learn from biology?
There is significant research interest recently to understand the evolution of the current Internet, as well as to design clean-slate Future Internet architectures. Clearly, even ...
Constantine Dovrolis, J. Todd Streelman
KDD
2009
ACM
180views Data Mining» more  KDD 2009»
16 years 7 months ago
Using graph-based metrics with empirical risk minimization to speed up active learning on networked data
Active and semi-supervised learning are important techniques when labeled data are scarce. Recently a method was suggested for combining active learning with a semi-supervised lea...
Sofus A. Macskassy
CHI
2009
ACM
16 years 7 months ago
Tangibles for children, : the challenges
A significant proportion of research in the field of tangible interaction involves children. A common aspiration is to offer benefits through tangibility, related to ease of use a...
Bieke Zaman, Vero Vanden Abeele, Panos Markopoulos...
SIGMOD
2009
ACM
175views Database» more  SIGMOD 2009»
16 years 6 months ago
Keyword search on structured and semi-structured data
Empowering users to access databases using simple keywords can relieve the users from the steep learning curve of mastering a structured query language and understanding complex a...
Yi Chen, Wei Wang 0011, Ziyang Liu, Xuemin Lin
COLT
2004
Springer
15 years 12 months ago
Convergence of Discrete MDL for Sequential Prediction
We study the properties of the Minimum Description Length principle for sequence prediction, considering a two-part MDL estimator which is chosen from a countable class of models....
Jan Poland, Marcus Hutter