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IJON
2011
90views more  IJON 2011»
14 years 1 months ago
Fault tolerant machine learning for nanoscale cognitive radio
We introduce a machine learning based classifier that identifies free radio channels for cognitive radio. The architecture is designed for nanoscale implementation, under nanosc...
Joni Pajarinen, Jaakko Peltonen, Mikko A. Uusitalo
ICML
2009
IEEE
15 years 10 months ago
Proximal regularization for online and batch learning
Many learning algorithms rely on the curvature (in particular, strong convexity) of regularized objective functions to provide good theoretical performance guarantees. In practice...
Chuong B. Do, Quoc V. Le, Chuan-Sheng Foo
IUI
2009
ACM
15 years 6 months ago
From geek to sleek: integrating task learning tools to support end users in real-world applications
Numerous techniques exist to help users automate repetitive tasks; however, none of these methods fully support enduser creation, use, and modification of the learned tasks. We pr...
Aaron Spaulding, Jim Blythe, Will Haines, Melinda ...
IROS
2009
IEEE
155views Robotics» more  IROS 2009»
15 years 4 months ago
Active learning using mean shift optimization for robot grasping
— When children learn to grasp a new object, they often know several possible grasping points from observing a parent’s demonstration and subsequently learn better grasps by tr...
Oliver Kroemer, Renaud Detry, Justus H. Piater, Ja...
NIME
2005
Springer
136views Music» more  NIME 2005»
15 years 3 months ago
Learning Advanced Skills on New Instruments (or practising scales and arpeggios on your NIME)
When learning a classical instrument, people often either take lessons in which an existing body of “technique” is delivered, evolved over generations of performers, or in som...
Sageev Oore