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ECML
2007
Springer
15 years 6 months ago
Bayesian Inference for Sparse Generalized Linear Models
We present a framework for efficient, accurate approximate Bayesian inference in generalized linear models (GLMs), based on the expectation propagation (EP) technique. The paramete...
Matthias Seeger, Sebastian Gerwinn, Matthias Bethg...
ISRR
2001
Springer
104views Robotics» more  ISRR 2001»
15 years 4 months ago
General Solution for Linearized Error Propagation in Vehicle Odometry
Although odometry is nonlinear, it yields sufficiently to linearized analysis to produce a closed-form transition matrix and a symbolic general solution for both deterministic and...
Alonzo Kelly
SAC
2012
ACM
13 years 7 months ago
On a hybrid data cloning method and its application in generalized linear mixed models
Data cloning method is a new computational tool for computing maximum likelihood estimates in complex statistical models such as mixed models. This method is synthesized with inte...
Hossein Baghishani, Håvard Rue, Mohsen Moham...
JMLR
2006
140views more  JMLR 2006»
14 years 11 months ago
Active Learning in Approximately Linear Regression Based on Conditional Expectation of Generalization Error
The goal of active learning is to determine the locations of training input points so that the generalization error is minimized. We discuss the problem of active learning in line...
Masashi Sugiyama
COCOON
2008
Springer
15 years 1 months ago
A Linear Programming Duality Approach to Analyzing Strictly Nonblocking d-ary Multilog Networks under General Crosstalk Constrai
When a switching network topology is used for constructing optical cross-connects, as in the circuit switching case, no two routes are allowed to share a link. However, if two rou...
Hung Q. Ngo, Yang Wang 0014, Anh Le