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KDD
2004
ACM
117views Data Mining» more  KDD 2004»
15 years 10 months ago
Regularized multi--task learning
Past empirical work has shown that learning multiple related tasks from data simultaneously can be advantageous in terms of predictive performance relative to learning these tasks...
Theodoros Evgeniou, Massimiliano Pontil
EDBT
2006
ACM
116views Database» more  EDBT 2006»
15 years 10 months ago
VICO: Visualizing Connected Object Orderings
In modern databases, complex objects like multimedia data, proteins or text objects can be modeled in a variety of representations and can be decomposed into multiple instances of ...
Stefan Brecheisen, Hans-Peter Kriegel, Matthias Sc...
MOBISYS
2006
ACM
15 years 9 months ago
MOJO: a distributed physical layer anomaly detection system for 802.11 WLANs
Deployments of wireless LANs consisting of hundreds of 802.11 access points with a large number of users have been reported in enterprises as well as college campuses. However, du...
Anmol Sheth, Christian Doerr, Dirk Grunwald, Richa...
CVPR
2010
IEEE
15 years 6 months ago
Exploiting Hierarchical Context on a Large Database of Object Categories
There has been a growing interest in exploiting contextual information in addition to local features to detect and localize multiple object categories in an image. Context models ...
Myung Jin Choi, Joseph Lim, Antonio Torralba, Alan...
ISMIS
2009
Springer
15 years 4 months ago
Relational Sequence Clustering for Aggregating Similar Agents
Many clustering methods are based on flat descriptions, while data regarding real-world domains include heterogeneous objects related to each other in multiple ways. For instance,...
Grazia Bombini, Nicola Di Mauro, Stefano Ferilli, ...