Publikationen von B Schölkopf
Alle Typen
Zeitschriftenartikel (110)
101.
Zeitschriftenartikel
14 (3), S. 154 - 163 (1999)
Lernen mit Kernen: Support-Vektor-Methoden zur Analyse hochdimensionaler Daten. Informatik - Forschung und Entwicklung 102.
Zeitschriftenartikel
79 (3), S. 191 - 202 (1998)
Where did I take that snapshot? Scene-based homing by image matching. Biological Cybernetics 103.
Zeitschriftenartikel
22 (1-2), S. 211 - 231 (1998)
On a Kernel-Based Method for Pattern Recognition, Regression, Approximation, and Operator Inversion. Algorithmica 104.
Zeitschriftenartikel
27 (10), S. 1229 - 1232 (1998)
The moon tilt illusion. Perception 105.
Zeitschriftenartikel
13 (4), S. 18 - 28 (1998)
Support vector machines. IEEE Intelligent Systems and their Applications 106.
Zeitschriftenartikel
10 (5), S. 1299 - 1319 (1998)
Nonlinear Component Analysis as a Kernel Eigenvalue Problem. Neural computation 107.
Zeitschriftenartikel
11 (4), S. 637 - 649 (1998)
The connection between regularization operators and support vector kernels. Neural networks 108.
Zeitschriftenartikel
5 (1), S. 111 - 125 (1998)
Learning view graphs for robot navigation. Autonomous Robots 109.
Zeitschriftenartikel
45 (11), S. 2758 - 2765 (1997)
Comparing support vector machines with Gaussian kernels to radial basis function classifiers. IEEE Transactions on Signal Processing 110.
Zeitschriftenartikel
3 (3), S. 311 - 348 (1995)
View-Based Cognitive Mapping and Path Planning. Adaptive Behavior Buch (6)
111.
Buch
Handbook of Statistical Bioinformatics. Springer, Berlin, Germany (2011), 627 S.
112.
Buch
Predicting Structured Data. MIT Press, Cambridge, MA, USA (2007), 360 S.
113.
Buch
Semi-Supervised Learning. MIT Press, Cambridge, MA, USA (2006), 508 S.
114.
Buch
Kernel Methods in Computational Biology. MIT Press, Cambridge, MA, USA (2004), 400 S.
115.
Buch
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond. MIT Press, Cambridge, MA, USA (2002), 626 S.
116.
Buch
Advances in Large Margin Classifiers. MIT Press, Cambridge, MA, USA (2000), 412 S.
Buchkapitel (26)
117.
Buchkapitel
Kernel methods in medical imaging. In: Handbook of Biomedical Imaging, S. 63 - 81 (Hg. Paragios, N.; Duncan, J.; Ayache, N.). Springer, Berlin, Germany (2015)
118.
Buchkapitel
Kernel Methods in Medical Imaging. In: Handbook of Biomedical Imaging: Methodologies and Clinical Research, S. 63 - 81 (Hg. Paragios, N.; Duncan, J.; Ayache, N.). Springer, Boston, MA, USA (2015)
119.
Buchkapitel
10: Inductive Logic, S. 651 - 706 (Hg. Gabbay, M.; Hartmann, S.; Woods, J.). Elsevier North Holland, Amsterdam, Netherlands (2011)
Statistical Learning Theory: Models, Concepts, and Results. In: Handbook of the History of Logic, Bd. 120.
Buchkapitel
Machine Learning Methods for Automatic Image Colorization. In: Computational Photography: Methods and Applications, S. 395 - 418 (Hg. Lukac, R.). CRC Press, Boca Raton, FL, USA (2011)