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TASLP
2010
144views more  TASLP 2010»
14 years 9 months ago
Active Learning With Sampling by Uncertainty and Density for Data Annotations
To solve the knowledge bottleneck problem, active learning has been widely used for its ability to automatically select the most informative unlabeled examples for human annotation...
Jingbo Zhu, Huizhen Wang, Benjamin K. Tsou, Matthe...
IEEESCC
2006
IEEE
15 years 8 months ago
Personalized Active Service Spaces for End-User Service Composition
End-user service composition is a promising way to ensure flexible, quick and personalized information provision and utilization, and consequently to better cope with spontaneous ...
Jun Han, Yanbo Han, Yan Jin, Jianwu Wang, Jian Yu
TROB
2011
255views more  TROB 2011»
14 years 9 months ago
Active 3D Object Localization Using a Humanoid Robot
—We study the problem of actively searching for an object in a 3D environment under the constraint of a maximum search time, using a visually guided humanoid robot with twentysix...
Alexander Andreopoulos, Stephan Hasler, Heiko Wers...
ICML
2007
IEEE
16 years 3 months ago
An integrated approach to feature invention and model construction for drug activity prediction
We present a new machine learning approach for 3D-QSAR, the task of predicting binding affinities of molecules to target proteins based on 3D structure. Our approach predicts bind...
David Page, Jesse Davis, Soumya Ray, Vítor ...
SEKE
2007
Springer
15 years 8 months ago
Performance Analysis of the Active Object Pattern in Middleware
A number of enterprises are turning towards the Service Oriented Architecture (SOA) approach for their systems due to the number of benefits it offers. A key enabling technology ...
Paul J. Vandal, Swapna S. Gokhale, Aniruddha S. Go...