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DSMML
2004
Springer
14 years 28 days ago
Understanding Gaussian Process Regression Using the Equivalent Kernel
The equivalent kernel [1] is a way of understanding how Gaussian process regression works for large sample sizes based on a continuum limit. In this paper we show how to approximat...
Peter Sollich, Christopher K. I. Williams
COLT
2000
Springer
13 years 11 months ago
Leveraging for Regression
In this paper we examine master regression algorithms that leverage base regressors by iteratively calling them on modified samples. The most successful leveraging algorithm for c...
Nigel Duffy, David P. Helmbold
ML
2002
ACM
145views Machine Learning» more  ML 2002»
13 years 7 months ago
Boosting Methods for Regression
In this paper we examine ensemble methods for regression that leverage or "boost" base regressors by iteratively calling them on modified samples. The most successful lev...
Nigel Duffy, David P. Helmbold
ICIP
2002
IEEE
14 years 9 months ago
Straightening warped text lines using polynomial regression
Perspective distortion always occurs while scanning thick, bound documents, resulting in two problems in the scanned grayscale image ? (i) shade along the `spine' of the book...
Zheng Zhang 0003, Chew Lim Tan
ICML
2006
IEEE
14 years 8 months ago
Efficient co-regularised least squares regression
In many applications, unlabelled examples are inexpensive and easy to obtain. Semisupervised approaches try to utilise such examples to reduce the predictive error. In this paper,...
Stefan Wrobel, Thomas Gärtner, Tobias Scheffe...