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ISCAS
2003
IEEE
110views Hardware» more  ISCAS 2003»
13 years 10 months ago
Active subset selection approach to nonlinear modeling of ECG data
Christian Merkwirth, Jörg D. Wichard, Maciej ...
ICML
2009
IEEE
14 years 5 months ago
Optimized expected information gain for nonlinear dynamical systems
This paper addresses the problem of active model selection for nonlinear dynamical systems. We propose a novel learning approach that selects the most informative subset of time-d...
Alberto Giovanni Busetto, Cheng Soon Ong, Joachim ...
ICDM
2005
IEEE
128views Data Mining» more  ICDM 2005»
13 years 10 months ago
An Expected Utility Approach to Active Feature-Value Acquisition
In many classification tasks training data have missing feature values that can be acquired at a cost. For building accurate predictive models, acquiring all missing values is of...
Prem Melville, Foster J. Provost, Raymond J. Moone...
AVBPA
2005
Springer
279views Biometrics» more  AVBPA 2005»
13 years 10 months ago
Active Shape Models with Invariant Optimal Features (IOF-ASMs)
Abstract. This paper is framed in the field of statistical face analysis. In particular, the problem of accurate segmentation of prominent features of the face in frontal view ima...
Federico Sukno, Sebastián Ordas, Constantin...
ICASSP
2011
IEEE
12 years 8 months ago
A kernelized maximal-figure-of-merit learning approach based on subspace distance minimization
We propose a kernelized maximal-figure-of-merit (MFoM) learning approach to efficiently training a nonlinear model using subspace distance minimization. In particular, a fixed,...
Byungki Byun, Chin-Hui Lee