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ICML
2005
IEEE
16 years 4 months ago
Heteroscedastic Gaussian process regression
This paper presents an algorithm to estimate simultaneously both mean and variance of a non parametric regression problem. The key point is that we are able to estimate variance l...
Alexander J. Smola, Quoc V. Le, Stéphane Ca...
108
Voted
ICML
2003
IEEE
16 years 4 months ago
Link-based Classification
Over the past few years, a number of approximate inference algorithms for networked data have been put forth. We empirically compare the performance of three of the popular algori...
Qing Lu, Lise Getoor
111
Voted
ICML
2001
IEEE
16 years 4 months ago
A Unified Loss Function in Bayesian Framework for Support Vector Regression
In this paper, we propose a unified non-quadratic loss function for regression known as soft insensitive loss function (SILF). SILF is a flexible model and possesses most of the d...
Wei Chu, S. Sathiya Keerthi, Chong Jin Ong
108
Voted
GECCO
2003
Springer
129views Optimization» more  GECCO 2003»
15 years 9 months ago
Tournament Selection: Stable Fitness Pressure in XCS
Abstract. Although it is known from GA literature that proportionate selection is subject to many pitfalls, the LCS community somewhat adhered to proportionate selection. Also in t...
Martin Butz, Kumara Sastry, David E. Goldberg
125
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COLT
2006
Springer
15 years 7 months ago
Online Tracking of Linear Subspaces
We address the problem of online de-noising a stream of input points. We assume that the clean data is embedded in a linear subspace. We present two online algorithms for tracking ...
Koby Crammer