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Schölkopf, B.; Mika, S.; Burges, C.; Knirsch, P.; Müller, K.-R.; Rätsch, G.; Smola, A.: Input space versus feature space in kernel-based methods. IEEE Transactions on Neural Networks 10 (5), pp. 1000 - 1017 (1999)

Schölkopf, B.; Müller, K.-R.; Smola, A.: Lernen mit Kernen: Support-Vektor-Methoden zur Analyse hochdimensionaler Daten. Informatik - Forschung und Entwicklung 14 (3), pp. 154 - 163 (1999)

Franz, M.; Schölkopf, B.; Mallot, H.; Bülthoff, H.: Where did I take that snapshot? Scene-based homing by image matching. Biological Cybernetics 79 (3), pp. 191 - 202 (1998)

Smola, A.; Schölkopf, B.: On a Kernel-Based Method for Pattern Recognition, Regression, Approximation, and Operator Inversion. Algorithmica 22 (1-2), pp. 211 - 231 (1998)

Schölkopf, B.: The moon tilt illusion. Perception 27 (10), pp. 1229 - 1232 (1998)

Hearst, M.; Dumais, S.; Osman, E.; Platt, J.; Schölkopf, B.: Support vector machines. IEEE Intelligent Systems and their Applications 13 (4), pp. 18 - 28 (1998)

Schölkopf, B.; Smola, A.; Müller, K.-R.: Nonlinear Component Analysis as a Kernel Eigenvalue Problem. Neural computation 10 (5), pp. 1299 - 1319 (1998)

Smola, A.; Schölkopf, B.; Müller, K.-R.: The connection between regularization operators and support vector kernels. Neural networks 11 (4), pp. 637 - 649 (1998)

Franz, M.; Schölkopf, B.; Mallot, H.; Bülthoff, H.: Learning view graphs for robot navigation. Autonomous Robots 5 (1), pp. 111 - 125 (1998)

Schölkopf, B.; Sung , K.; Burges , C.; Girosi, F.; Niyogi, P.; Poggio, T.; Vapnik, V.: Comparing support vector machines with Gaussian kernels to radial basis function classifiers. IEEE Transactions on Signal Processing 45 (11), pp. 2758 - 2765 (1997)

Schölkopf, B.; Mallot, H.: View-Based Cognitive Mapping and Path Planning. Adaptive Behavior 3 (3), pp. 311 - 348 (1995)

Lu, H.-S.; Schölkopf, B.; Zhao, H. (Eds.): Handbook of Statistical Bioinformatics. Springer, Berlin, Germany (2011), 627 pp.

Bakir, G.; Hofmann, T.; Schölkopf, B.; Smola , A.; Taskar, B.; Vishwanathan, S.: Predicting Structured Data. MIT Press, Cambridge, MA, USA (2007), 360 pp.

Chapelle, O.; Schölkopf, B.; Zien, A.: Semi-Supervised Learning. MIT Press, Cambridge, MA, USA (2006), 508 pp.

Schölkopf, B.; Tsuda, K.; Vert, J.-P.: Kernel Methods in Computational Biology. MIT Press, Cambridge, MA, USA (2004), 400 pp.

Schölkopf, B.; Smola, A.: Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond. MIT Press, Cambridge, MA, USA (2002), 626 pp.

Smola, A.; Bartlett, P.; Schölkopf, B.; Schuurmans, D.: Advances in Large Margin Classifiers. MIT Press, Cambridge, MA, USA (2000), 412 pp.

Charpiat, G.; Hofmann, M.; Schölkopf, B.: Kernel methods in medical imaging. In: Handbook of Biomedical Imaging, pp. 63 - 81 (Eds. Paragios, N.; Duncan, J.; Ayache, N.). Springer, Berlin, Germany (2015)

Charpiat, G.; Hofmann, M.; Schölkopf, B.: 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)

von Luxburg, U.; Schölkopf, B.: Statistical Learning Theory: Models, Concepts, and Results. In: Handbook of the History of Logic, Vol. 10: Inductive Logic, pp. 651 - 706 (Eds. Gabbay, M.; Hartmann, S.; Woods, J.). Elsevier North Holland, Amsterdam, Netherlands (2011)