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» Bias and variance in value function estimation
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CORR
2011
Springer
161views Education» more  CORR 2011»
14 years 1 months ago
Doubly Robust Policy Evaluation and Learning
We study decision making in environments where the reward is only partially observed, but can be modeled as a function of an action and an observed context. This setting, known as...
Miroslav Dudík, John Langford, Lihong Li
CVPR
1999
IEEE
15 years 11 months ago
Fast, Robust, and Consistent Camera Motion Estimation
Previous algorithms that recover camera motion from image velocities sufferfrom both bias and excessive variance in the results. We propose a robust estimator of camera motion tha...
Tong Zhang, Carlo Tomasi
ICDM
2003
IEEE
99views Data Mining» more  ICDM 2003»
15 years 2 months ago
Simple Estimators for Relational Bayesian Classifiers
In this paper we present the Relational Bayesian Classifier (RBC), a modification of the Simple Bayesian Classifier (SBC) for relational data. There exist several Bayesian classif...
Jennifer Neville, David Jensen, Brian Gallagher
CDC
2008
IEEE
154views Control Systems» more  CDC 2008»
15 years 4 months ago
Distributed calculation of linear functions in noisy networks via linear iterations
— Given a fixed network where each node has some given initial value, and under the constraint that each node receives noisy transmissions from its immediate neighbors, we provi...
Shreyas Sundaram, Christoforos N. Hadjicostis
BMCBI
2007
107views more  BMCBI 2007»
14 years 9 months ago
A general and efficient method for estimating continuous IBD functions for use in genome scans for QTL
Background: Identity by descent (IBD) matrix estimation is a central component in mapping of Quantitative Trait Loci (QTL) using variance component models. A large number of algor...
Francois Besnier, Örjan Carlborg