Machine Learning

Graepel, T., Burger, M. and Obermayer, K. (1998). Self-Organizing Maps: Generalizations and New Optimization Techniques. Neurocomputing, 20, 173 – 190.

Graepel, T. and Obermayer, K. (1998). Fuzzy Topographic Kernel Clustering. Proceedings of the 5th GI Workshop Fuzzy Neuro Systems, 90 – 97.,

Südholt, M., Piepenbrock, C., Obermayer, K. and Pepper, P. (1997). Solving Large Systems of Differential Equations using Convolutions by Transformation. IFIP Working Conference on Algorithmic Languages and Calculi, Strasbourg. Chapman \\& Hall, (1 – 27).,

Burger, M., Graepel, T. and Obermayer, K. (1997). Phase Transitions in Soft Topographic Vector Quantization. Artificial Neural Networks - ICANN 97. Springer-Verlag, 619 – 624.,

Graepel, T., Burger, M. and Obermayer, K. (1997). Deterministic Annealing for Topographic Vector Quantization and Self-Organizing Maps. Proceedings of the Workshop on Self-Organizing Maps - WSOM 97, 345 – 350.,

Graepel, T., Burger, M. and Obermayer, K. (1997). Phase Transitions in Stochastic Self-Organizing Maps. PHYSICAL REVIEW E, 56, 3876 – 3890.

Obermayer, K. (1992). Neural Pattern Formation and Self-Organizing Maps. Annales de Groupe CARNAC 5, 91 – 104.,

Erwin, E., Obermayer, K. and Schulten, K. (1992). Self-Organizing Maps: Ordering, Convergence Properties and Energy Functions. Biological Cybernetics, 67, 47 – 55.

Erwin, E., Obermayer, K. and Schulten, K. (1992). Self-Organizing Maps: Stationary States, Metastability and Convergence Rate. Biological Cybernetics, 67, 35 – 45.

Ritter, H., Obermayer, K. and Rubner, J. (1991). Self-Organizing Maps and Adaptive Filters. Physics of Neural Networks. Springer, 281 – 306.,

Erwin, E., Obermayer, K. and Schulten, K. (1991). Convergence Properties of Self-organizing Maps. Artificial Neural Networks I. North Holland, 409 – 414.,