52 search results - page 3 / 11 » Online Learning of Noisy Data with Kernels |
ICML
2001
IEEE
14 years 7 months ago
2001
IEEE
Data noise is present in many machine learning problems domains, some of these are well studied but others have received less attention. In this paper we propose an algorithm for ...
ICASSP
2011
IEEE
12 years 10 months ago
2011
IEEE
In this work a new online learning algorithm that uses automatic relevance determination (ARD) is proposed for fast adaptive nonlinear filtering. A sequential decision rule for i...
AAAI
2007
13 years 8 months ago
2007
We propose a novel kernel regression algorithm which takes into account order preferences on unlabeled data. Such preferences have the form that point x1 has a larger target value...
ECML
2007
Springer
14 years 9 days ago
2007
Springer
Abstract. Consider the online regression problem where the dependence of the outcome yt on the signal xt changes with time. Standard regression techniques, like Ridge Regression, d...
ICASSP
2011
IEEE
12 years 10 months ago
2011
IEEE
The Support Vector Machine (SVM) methodology is an effective, supervised, machine learning method that gives stateof-the-art performance for brain state classification from funct...