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UAI
2008
13 years 10 months ago
Learning Arithmetic Circuits
Graphical models are usually learned without regard to the cost of doing inference with them. As a result, even if a good model is learned, it may perform poorly at prediction, be...
Daniel Lowd, Pedro Domingos
IJCNN
2000
IEEE
14 years 1 months ago
Learning Fine Positioning of a Robot Manipulator Based on Gabor Wavelets
: A system for learning the pre-grasp positioning task for a robot manipulator is presented. The images delivered from a gripper mounted camera are analysed using Gabor filters wh...
Jörg A. Walter, Bert Arnrich, Christian Schee...
ICANN
2009
Springer
13 years 6 months ago
MINLIP: Efficient Learning of Transformation Models
Abstract. This paper studies a risk minimization approach to estimate a transformation model from noisy observations. It is argued that transformation models are a natural candidat...
Vanya Van Belle, Kristiaan Pelckmans, Johan A. K. ...
IJON
2011
90views more  IJON 2011»
13 years 6 days 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
TWC
2008
176views more  TWC 2008»
13 years 8 months ago
Asynchronous distributed power and rate control in ad hoc networks: a game-theoretic approach
This paper analyzes distributed asynchronous power and rate control for wireless ad hoc networks. Importantly, all network transmitters are considered to be independent of any mana...
Stepán Kucera, Sonia Aïssa, Koji Yamam...