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ML
2008
ACM
13 years 8 months ago
A bias/variance decomposition for models using collective inference
Bias/variance analysis is a useful tool for investigating the performance of machine learning algorithms. Conventional analysis decomposes loss into errors due to aspects of the le...
Jennifer Neville, David Jensen
GECCO
2009
Springer
14 years 3 months ago
Dynamic evolutionary optimisation: an analysis of frequency and magnitude of change
In this paper, we rigorously analyse how the magnitude and frequency of change may affect the performance of the algorithm (1+1) EAdyn on a set of artificially designed pseudo-Bo...
Philipp Rohlfshagen, Per Kristian Lehre, Xin Yao
ICIP
2000
IEEE
14 years 10 months ago
Approximately Optimal Assignment for Unequal Loss Protection
This paper describes an algorithm that achieves an approximately optimal assignment of forward error correction to progressive data within the unequal loss protection framework [1...
Alexander E. Mohr, Richard E. Ladner, Eve A. Riski...
ACCV
1998
Springer
14 years 28 days ago
Comparison of Mean Field Annealing and Multiresolution Analysis in Missing Data Estimation
The project we are working on is to help develop and test a low cost, large area, high resolution X-ray detection system with a high dynamic range. The large area is achieved by b...
Hairong Qi, Wesley E. Snyder, Griff L. Bilbro
CVPR
2008
IEEE
14 years 10 months ago
3D-2D spatiotemporal registration for sports motion analysis
Computer systems are increasingly being used for sports training. Existing sports training systems either require expensive 3D motion capture systems or do not provide intelligent...
Ruixuan Wang, Wee Kheng Leow, Hon Wai Leong