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» On the Error Parameter of Dispersers
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COLT
1999
Springer
15 years 10 months ago
Multiclass Learning, Boosting, and Error-Correcting Codes
We focus on methods to solve multiclass learning problems by using only simple and efficient binary learners. We investigate the approach of Dietterich and Bakiri [2] based on er...
Venkatesan Guruswami, Amit Sahai
SIGGRAPH
2010
ACM
15 years 10 months ago
NETRA: interactive display for estimating refractive errors and focal range
We introduce an interactive, portable, and inexpensive solution for estimating refractive errors in the human eye. While expensive optical devices for automatic estimation of refr...
Vitor F. Pamplona, Ankit Mohan, Manuel M. Oliveira...
CVPR
2001
IEEE
16 years 8 months ago
Face Verification Using Error Correcting Output Codes
The Error Correcting Output Coding (ECOC) approach to classifier design decomposes a multi-class problem into a set of complementary two-class problems. We show how to apply the E...
Josef Kittler, Reza Ghaderi, Terry Windeatt, Jiri ...
PKDD
2009
Springer
88views Data Mining» more  PKDD 2009»
16 years 24 days ago
Feature Weighting Using Margin and Radius Based Error Bound Optimization in SVMs
The Support Vector Machine error bound is a function of the margin and radius. Standard SVM algorithms maximize the margin within a given feature space, therefore the radius is fi...
Huyen Do, Alexandros Kalousis, Melanie Hilario
ACL
2009
15 years 4 months ago
Efficient Minimum Error Rate Training and Minimum Bayes-Risk Decoding for Translation Hypergraphs and Lattices
Minimum Error Rate Training (MERT) and Minimum Bayes-Risk (MBR) decoding are used in most current state-of-theart Statistical Machine Translation (SMT) systems. The algorithms wer...
Shankar Kumar, Wolfgang Macherey, Chris Dyer, Fran...