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ESANN
2007
15 years 3 months ago
Kernel-based online machine learning and support vector reduction
We apply kernel-based machine learning methods to online learning situations, and look at the related requirement of reducing the complexity of the learnt classifier. Online meth...
Sumeet Agarwal, V. Vijaya Saradhi, Harish Karnick
193
Voted

Book
778views
17 years 15 days ago
Gaussian Processes for Machine Learning
"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning...
Carl Edward Rasmussen and Christopher K. I. Willia...
ICML
2007
IEEE
16 years 3 months ago
CarpeDiem: an algorithm for the fast evaluation of SSL classifiers
In this paper we present a novel algorithm, CarpeDiem. It significantly improves on the time complexity of Viterbi algorithm, preserving the optimality of the result. This fact ha...
Roberto Esposito, Daniele P. Radicioni
151
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ECTEL
2006
Springer
15 years 6 months ago
Virtual Action Learning: Experiences from a Study of an SME e-Learning Programme
This paper presents the findings from a project investigating management development for SME managers using an action learning programme, combining both face-to-face workshops and ...
Jean-Anne Stewart, Gillian Alexander
CICLING
2010
Springer
15 years 5 months ago
Identification of Translationese: A Machine Learning Approach
This paper presents a machine learning approach to the study of translationese. The goal is to train a computer system to distinguish between translated and non-translated text, in...
Iustina Ilisei, Diana Inkpen, Gloria Corpas Pastor...