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ICPR
2000
IEEE
15 years 11 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»
15 years 3 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
15 years 3 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
15 years 1 months 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
16 years 5 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),...