Bernhard Schölkopf

Visit Bernhard Schölkopf's web page : http://www.kyb.mpg.de/~bs

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.
He is on the editorial boards of:

* Journal of Machine Learning Research, an online journal which he helped launch as a founding action editor in early 2000. According to the 2003 ISI statistics, JMLR is the top machine learning journal, and the second most cited journal in all of Artificial Intelligence (number one is "Medical Image Analysis"). [Update: in 2004, JMLR had the highest rating of any journal in artificial intelligence, automation and control, or statistics and probability. It had the second highest rating of any computer science journal.]
* International Journal of Computer Vision, one of the two flagship journals of computer vision (with IEEE PAMI, see below)
* IEEE Transactions on Pattern Analysis and Machine Intelligence, ranked #3 among 105 IEEE titles in the latest Journal Citation Reports
* Journal of Artificial Intelligence Research, available online (established in 1993 as one of the first electronic scientific journals)
* Information Science and Statistics, a series of monographs in Statistics, Machine Learning and adjacent fields, published by Springer

In addition, he has served and serves as PC member (e.g., NIPS, COLT, ICML, UAI, DAGM, Snowbird Learning Workshop) and as (program) (co-)chair of various conferences (COLT'03, DAGM'04, NIPS'05 (click here for NIPS'05 author and reviewer information), as well as the first two kernel workshops). He acts as general chair of NIPS'06 (author/reviewer instructions).



Many of his publications can be downloaded from http://www.kernel-machines.org/ .