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Journal Article (111)
101.
Journal Article
10 (5), pp. 1000 - 1017 (1999)
Input space versus feature space in kernel-based methods. IEEE Transactions on Neural Networks 102.
Journal Article
14 (3), pp. 154 - 163 (1999)
Lernen mit Kernen: Support-Vektor-Methoden zur Analyse hochdimensionaler Daten. Informatik - Forschung und Entwicklung 103.
Journal Article
79 (3), pp. 191 - 202 (1998)
Where did I take that snapshot? Scene-based homing by image matching. Biological Cybernetics 104.
Journal Article
22 (1-2), pp. 211 - 231 (1998)
On a Kernel-Based Method for Pattern Recognition, Regression, Approximation, and Operator Inversion. Algorithmica 105.
Journal Article
27 (10), pp. 1229 - 1232 (1998)
The moon tilt illusion. Perception 106.
Journal Article
13 (4), pp. 18 - 28 (1998)
Support vector machines. IEEE Intelligent Systems and their Applications 107.
Journal Article
10 (5), pp. 1299 - 1319 (1998)
Nonlinear Component Analysis as a Kernel Eigenvalue Problem. Neural computation 108.
Journal Article
11 (4), pp. 637 - 649 (1998)
The connection between regularization operators and support vector kernels. Neural networks 109.
Journal Article
5 (1), pp. 111 - 125 (1998)
Learning view graphs for robot navigation. Autonomous Robots 110.
Journal Article
45 (11), pp. 2758 - 2765 (1997)
Comparing support vector machines with Gaussian kernels to radial basis function classifiers. IEEE Transactions on Signal Processing 111.
Journal Article
3 (3), pp. 311 - 348 (1995)
View-Based Cognitive Mapping and Path Planning. Adaptive Behavior Book (6)
112.
Book
Handbook of Statistical Bioinformatics. Springer, Berlin, Germany (2011), 627 pp.
113.
Book
Predicting Structured Data. MIT Press, Cambridge, MA, USA (2007), 360 pp.
114.
Book
Semi-Supervised Learning. MIT Press, Cambridge, MA, USA (2006), 508 pp.
115.
Book
Kernel Methods in Computational Biology. MIT Press, Cambridge, MA, USA (2004), 400 pp.
116.
Book
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond. MIT Press, Cambridge, MA, USA (2002), 626 pp.
117.
Book
Advances in Large Margin Classifiers. MIT Press, Cambridge, MA, USA (2000), 412 pp.
Book Chapter (26)
118.
Book Chapter
Kernel methods in medical imaging. In: Handbook of Biomedical Imaging, pp. 63 - 81 (Eds. Paragios, N.; Duncan, J.; Ayache, N.). Springer, Berlin, Germany (2015)
119.
Book Chapter
Kernel Methods in Medical Imaging. In: Handbook of Biomedical Imaging: Methodologies and Clinical Research, pp. 63 - 81 (Eds. Paragios, N.; Duncan, J.; Ayache, N.). Springer, Boston, MA, USA (2015)
120.
Book Chapter
10: Inductive Logic, pp. 651 - 706 (Eds. 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, Vol.