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» On Multiple Linear Approximations
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ICPR
2004
IEEE
16 years 4 days ago
Efficient Model Selection for Kernel Logistic Regression
Kernel logistic regression models, like their linear counterparts, can be trained using the efficient iteratively reweighted least-squares (IRWLS) algorithm. This approach suggest...
Gavin C. Cawley, Nicola L. C. Talbot
ML
2002
ACM
154views Machine Learning» more  ML 2002»
14 years 10 months ago
Technical Update: Least-Squares Temporal Difference Learning
TD() is a popular family of algorithms for approximate policy evaluation in large MDPs. TD() works by incrementally updating the value function after each observed transition. It h...
Justin A. Boyan
MOC
2002
101views more  MOC 2002»
14 years 10 months ago
On the stability of a family of finite element methods for hyperbolic problems
We consider a family of tensor product finite element methods for hyperbolic equations in RN , N 2, which are explicit and generate a continuous approximate solution. The base cas...
Gerard R. Richter
GLOBECOM
2007
IEEE
15 years 5 months ago
Impact of Noisy Carrier Phase Synchronization on Linear Amplify-and-Forward Relaying
—We consider a distributed wireless network where amplify-and-forward relays assist the communication between multiple source/destination pairs. To provide a global phase referen...
Stefan Berger, Armin Wittneben
70
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ECCV
2004
Springer
15 years 4 months ago
Stitching and Reconstruction of Linear-Pushbroom Panoramic Images for Planar Scenes
Abstract. This paper proposes a method to integrate multiple linearpushbroom panoramic images. The integration can be performed in real time. The technique is feasible on planar sc...
Chu-Song Chen, Yu-Ting Chen, Fay Huang