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Christian Igel

Showing results (1-10 of 38) with videos related to

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Neural Computation|December 18, 2010
Bounding the bias of contrastive divergence learningAsja Fischer, Christian Igel
Neural Computation|November 30, 2007
Second-order SMO improves SVM online and active learningTobias Glasmachers, Christian Igel
Neural Computation|August 18, 2005
Gradient-based adaptation of general gaussian kernelsTobias Glasmachers, Christian Igel
IEEE Transactions on Pattern Analysis and Machine Intelligence|April 28, 2010
Maximum likelihood model selection for 1-norm soft margin SVMs with multiple parametersTobias Glasmachers, Christian Igel
Evolutionary Computation|March 29, 2007
Covariance matrix adaptation for multi-objective optimizationChristian Igel, Nikolaus Hansen, Stefan Roth
Evolutionary Computation|May 31, 2007
Reducing the number of fitness evaluations in graph genetic programming using a canonical graph indexed databaseJens Niehaus, Christian Igel, Wolfgang Banzhaf
Plos Computational Biology|September 15, 2010
A dynamic neural field model of mesoscopic cortical activity captured with voltage-sensitive dye imagingValentin Markounikau, Christian Igel, Amiram Grinvald, et al.
International Journal of Neural Systems|December 22, 2007
Evolutionary optimization of sequence kernels for detection of bacterial gene startsBritta Mersch, Tobias Glasmachers, Peter Meinicke, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|May 3, 2007
Gradient-based optimization of kernel-target alignment for sequence kernels applied to bacterial gene start detectionChristian Igel, Tobias Glasmachers, Britta Mersch, et al.
Ultrasound in Medicine & Biology|September 1, 2009
Toward registration of 3D ultrasound and CT images of the spine in clinical praxis: design and evaluation of a data acquisition protocolSusanne Winter, Ioannis Pechlivanis, Claudia Dekomien, et al.
Pageof 4

Showing results (1-10 of 38) with videos related to

Sort By:
Pageof 4
Neural Computation|December 18, 2010
Bounding the bias of contrastive divergence learningAsja Fischer, Christian Igel
Neural Computation|November 30, 2007
Second-order SMO improves SVM online and active learningTobias Glasmachers, Christian Igel
Neural Computation|August 18, 2005
Gradient-based adaptation of general gaussian kernelsTobias Glasmachers, Christian Igel
IEEE Transactions on Pattern Analysis and Machine Intelligence|April 28, 2010
Maximum likelihood model selection for 1-norm soft margin SVMs with multiple parametersTobias Glasmachers, Christian Igel
Evolutionary Computation|March 29, 2007
Covariance matrix adaptation for multi-objective optimizationChristian Igel, Nikolaus Hansen, Stefan Roth
Evolutionary Computation|May 31, 2007
Reducing the number of fitness evaluations in graph genetic programming using a canonical graph indexed databaseJens Niehaus, Christian Igel, Wolfgang Banzhaf
Plos Computational Biology|September 15, 2010
A dynamic neural field model of mesoscopic cortical activity captured with voltage-sensitive dye imagingValentin Markounikau, Christian Igel, Amiram Grinvald, et al.
International Journal of Neural Systems|December 22, 2007
Evolutionary optimization of sequence kernels for detection of bacterial gene startsBritta Mersch, Tobias Glasmachers, Peter Meinicke, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|May 3, 2007
Gradient-based optimization of kernel-target alignment for sequence kernels applied to bacterial gene start detectionChristian Igel, Tobias Glasmachers, Britta Mersch, et al.
Ultrasound in Medicine & Biology|September 1, 2009
Toward registration of 3D ultrasound and CT images of the spine in clinical praxis: design and evaluation of a data acquisition protocolSusanne Winter, Ioannis Pechlivanis, Claudia Dekomien, et al.
Pageof 4