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ICPR
2000
IEEE
14 years 9 months ago
General Bias/Variance Decomposition with Target Independent Variance of Error Functions Derived from the Exponential Family of D
An important theoretical tool in machine learning is the bias/variance decomposition of the generalization error. It was introduced for the mean square error in [3]. The bias/vari...
Jakob Vogdrup Hansen, Tom Heskes
SIGECOM
2005
ACM
105views ECommerce» more  SIGECOM 2005»
14 years 2 months ago
Towards truthful mechanisms for binary demand games: a general framework
The family of Vickrey-Clarke-Groves (VCG) mechanisms is arguably the most celebrated achievement in truthful mechanism design. However, VCG mechanisms have their limitations. They...
Ming-Yang Kao, Xiang-Yang Li, Weizhao Wang
CEC
2003
IEEE
14 years 2 months ago
A note on general adaptation in populations of painting robots
A population of virtual robots is evolved to perform the task of competitively painting the floor of a toroidal room. Two robots are present in any given room and paint using dis...
Dan Ashlock, Elizabeth Blankenship, Jonathan Gandr...
GBRPR
2007
Springer
14 years 19 days ago
Generalized vs Set Median Strings for Histogram-Based Distances: Algorithms and Classification Results in the Image Domain
We compare different statistical characterizations of a set of strings, for three different histogram-based distances. Given a distance, a set of strings may be characterized by it...
Christine Solnon, Jean-Michel Jolion
CVPR
2009
IEEE
15 years 4 months ago
Learning General Optical Flow Subspaces for Egomotion Estimation and Detection of Motion Anomalies
This paper deals with estimation of dense optical flow and ego-motion in a generalized imaging system by exploiting probabilistic linear subspace constraints on the flow. We dea...
Richard Roberts (Georgia Institute of Technology),...