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J A K Suykens

Showing results (1-10 of 16) with videos related to

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Ultrasound in Obstetrics & Gynecology : the Official Journal of the International Society of Ultrasound in Obstetrics and Gynecology|May 23, 2006
Support vector machines versus logistic regression: improving prospective performance in clinical decision-makingN L M M Pochet, J A K Suykens
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|June 13, 2009
Influence of passive elements on the dynamics of oscillatory ensembles of cardiac cellsV S Petrov, G V Osipov, J A K Suykens
IEEE Transactions on Neural Networks|May 29, 2007
A convex approach to validation-based learning of the regularization constantK Pelckmans, J A K Suykens, B De Moor
Chaos (Woodbury, N.Y.)|December 3, 2008
Variety of synchronous regimes in neuronal ensemblesM A Komarov, G V Osipov, J A K Suykens
Bioinformatics (Oxford, England)|November 11, 2010
Improved performance on high-dimensional survival data by application of Survival-SVMV Van Belle, K Pelckmans, S Van Huffel, et al.
Neural Networks : the Official Journal of the International Neural Network Society|August 23, 2005
Handling missing values in support vector machine classifiersK Pelckmans, J De Brabanter, J A K Suykens, et al.
Statistics in Medicine|December 22, 2009
Additive survival least-squares support vector machinesV Van Belle, K Pelckmans, J A K Suykens, et al.
Chaos (Woodbury, N.Y.)|April 2, 2009
Numerical studies of slow rhythms emergence in neural microcircuits: bifurcations and stabilityM A Komarov, G V Osipov, J A K Suykens, et al.
Neural Computation|April 26, 2002
Bayesian framework for least-squares support vector machine classifiers, gaussian processes, and kernel Fisher discriminant analysisT Van Gestel, J A K Suykens, G Lanckriet, et al.
Artificial Intelligence in Medicine|August 21, 2003
Preoperative prediction of malignancy of ovarian tumors using least squares support vector machinesC Lu, T Van Gestel, J A K Suykens, et al.
Pageof 2

Showing results (1-10 of 16) with videos related to

Sort By:
Pageof 2
Ultrasound in Obstetrics & Gynecology : the Official Journal of the International Society of Ultrasound in Obstetrics and Gynecology|May 23, 2006
Support vector machines versus logistic regression: improving prospective performance in clinical decision-makingN L M M Pochet, J A K Suykens
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|June 13, 2009
Influence of passive elements on the dynamics of oscillatory ensembles of cardiac cellsV S Petrov, G V Osipov, J A K Suykens
IEEE Transactions on Neural Networks|May 29, 2007
A convex approach to validation-based learning of the regularization constantK Pelckmans, J A K Suykens, B De Moor
Chaos (Woodbury, N.Y.)|December 3, 2008
Variety of synchronous regimes in neuronal ensemblesM A Komarov, G V Osipov, J A K Suykens
Bioinformatics (Oxford, England)|November 11, 2010
Improved performance on high-dimensional survival data by application of Survival-SVMV Van Belle, K Pelckmans, S Van Huffel, et al.
Neural Networks : the Official Journal of the International Neural Network Society|August 23, 2005
Handling missing values in support vector machine classifiersK Pelckmans, J De Brabanter, J A K Suykens, et al.
Statistics in Medicine|December 22, 2009
Additive survival least-squares support vector machinesV Van Belle, K Pelckmans, J A K Suykens, et al.
Chaos (Woodbury, N.Y.)|April 2, 2009
Numerical studies of slow rhythms emergence in neural microcircuits: bifurcations and stabilityM A Komarov, G V Osipov, J A K Suykens, et al.
Neural Computation|April 26, 2002
Bayesian framework for least-squares support vector machine classifiers, gaussian processes, and kernel Fisher discriminant analysisT Van Gestel, J A K Suykens, G Lanckriet, et al.
Artificial Intelligence in Medicine|August 21, 2003
Preoperative prediction of malignancy of ovarian tumors using least squares support vector machinesC Lu, T Van Gestel, J A K Suykens, et al.
Pageof 2