Bernhard Schölkopf
About
Bernhard Schölkopf's scientific interests are in the field of machine learning and perception. In particular, he studies support vector and kernel methods for understanding high-dimensional data. H
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17:59
Removing systematic errors for exoplanet search via latent causes
Dec 5, 2015 2362 views
42:50
Kernel means and shrinkage
Oct 6, 2014 2630 views
57:35
From Kernels to Causality
Aug 26, 2013 5878 views
04:27:20
Kernel Methods
Jan 25, 2013 15304 views
46:28
From kernels to causal inference
Jan 25, 2012 7755 views
54:52
Opportunities for cosmology to meet machine learning
Jan 23, 2012 5966 views
03:28:45
Kernel Methods
Oct 12, 2011 16121 views
37:27
From Injective Hilbert Space Embeddings to Deconvolution
Jan 12, 2011 5255 views
01:21:03
Machine learning for cognitive science 2: Bayesian methods and statistical learn...
Jun 15, 2010 9691 views
01:20:08
Machine learning for cognitive science 3: Kernel methods and Bayesian methods
Jun 15, 2010 5918 views
02:39:22
Kernel Methods
Nov 2, 2009 17994 views
07:51
A discussion about ML
Sep 4, 2007 15518 views