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JMLR
2010
118views more  JMLR 2010»
13 years 4 months ago
Gaussian processes with monotonicity information
A method for using monotonicity information in multivariate Gaussian process regression and classification is proposed. Monotonicity information is introduced with virtual derivat...
Jaakko Riihimäki, Aki Vehtari

Book
376views
15 years 7 months ago
An Exploration of Random Processes for Engineers
"From an applications viewpoint, the main reason to study the subject of these notes is to help deal with the complexity of describing random, time-varying functions. A random...
Bruce Hajek
ICASSP
2008
IEEE
14 years 4 months ago
Identification of linear systems with adaptive control of the cross-multiplicative transfer function approximation
In this paper, we extend the cross-multiplicative transfer function (CMTF) approach for improved system identification in the shorttime Fourier transform (STFT) domain. The propo...
Yekutiel Avargel, Israel Cohen
NN
2000
Springer
167views Neural Networks» more  NN 2000»
13 years 10 months ago
Blind signal processing by the adaptive activation function neurons
The aim of this paper is to study an Information Theory based learning theory for neural units endowed with adaptive activation functions. The learning theory has the target to fo...
Simone Fiori
LREC
2008
78views Education» more  LREC 2008»
13 years 11 months ago
Approximating Learning Curves for Active-Learning-Driven Annotation
Active learning (AL) is getting more and more popular as a methodology to considerably reduce the annotation effort when building training material for statistical learning method...
Katrin Tomanek, Udo Hahn