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» Choosing Multiple Parameters for Support Vector Machines
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UAI
2000
13 years 9 months ago
Variational Relevance Vector Machines
The Support Vector Machine (SVM) of Vapnik [9] has become widely established as one of the leading approaches to pattern recognition and machine learning. It expresses predictions...
Christopher M. Bishop, Michael E. Tipping
ESANN
2007
13 years 9 months ago
Bat echolocation modelling using spike kernels with Support Vector Regression
Abstract. From the echoes of their vocalisations bats extract information about the positions of reflectors. To gain an understanding of how target position is translated into neu...
Bertrand Fontaine, Herbert Peremans, Benjamin Schr...
ECML
2006
Springer
13 years 11 months ago
Multiple-Instance Learning Via Random Walk
This paper presents a decoupled two stage solution to the multiple-instance learning (MIL) problem. With a constructed affinity matrix to reflect the instance relations, a modified...
Dong Wang, Jianmin Li, Bo Zhang
IWCMC
2010
ACM
14 years 4 days ago
Performance of CSI-based multi-user MIMO for the LTE downlink
We consider the application of a channel state information (CSI) based multi-user (MU) multiple input multiple output (MIMO) scheme to the downlink of 3GPP Long Term Evolution (LT...
Philipp Frank, Andreas Müller, Joachim Speide...
AHS
2007
IEEE
219views Hardware» more  AHS 2007»
14 years 2 months ago
A learning machine for resource-limited adaptive hardware
Machine Learning algorithms allow to create highly adaptable systems, since their functionality only depends on the features of the inputs and the coefficients found during the tr...
Davide Anguita, Alessandro Ghio, Stefano Pischiutt...