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In contrast to the standard machine learning tasks of classi fication and metric regression we investigate the problem of predicting var iables of ordinal scale, a setting referred to as ordinalâ€¦ (More)

We investigate the problem of predicting variables of ordinal scale. This taks is referred to as ordinal regression and is complementary to the standard machine learning tasks of classification andâ€¦ (More)

- Sambu Seo, Klaus Obermayer
- Neural Computation
- 2003

Learning vector quantization (LVQ) is a popular class of adaptive nearest prototype classifiers for multiclass classification, but learning algorithms from this family have so far been proposed onâ€¦ (More)

- Stephan Schmitt, Jan Felix Evers, Carsten Duch, Michael Scholz, Klaus Obermayer
- NeuroImage
- 2004

Exact geometrical reconstructions of neuronal architecture are indispensable for the investigation of neuronal function. Neuronal shape is important for the wiring of networks, and dendriticâ€¦ (More)

We investigate the problem of learning a classification task on data represented in terms of their pairwise proximities. This representation does not refer to an expli cit feature representation ofâ€¦ (More)

- Sepp Hochreiter, Djork-ArnÃ© Clevert, Klaus Obermayer
- Bioinformatics
- 2006

MOTIVATION
We propose a new model-based technique for summarizing high-density oligonucleotide array data at probe level for Affymetrix GeneChips. The new summarization method is based on a factorâ€¦ (More)

- E. Erwin, Klaus Obermayer, Klaus Schulten
- Biological Cybernetics
- 1992

We investigate the convergence properties of the self-organizing feature map algorithm for a simple, but very instructive case: the formation of a topographic representation of the unit intervalâ€¦ (More)

- E. Erwin, Klaus Obermayer, Klaus Schulten
- Neural Computation
- 1995

Orientation and ocular dominance maps in the primary visual cortex of mammals are among the most thoroughly investigated of the patterns in the cerebral cortex. A considerable amount of work has beenâ€¦ (More)

- Roland Vollgraf, Klaus Obermayer
- IEEE Transactions on Signal Processing
- 2006

Simultaneous diagonalization of a set of matrices is a technique that has numerous applications in statistical signal processing and multivariate statistics. Although objective functions in aâ€¦ (More)

- Sepp Hochreiter, Klaus Obermayer
- Neural Computation
- 2006

We describe a new technique for the analysis of dyadic data, where two sets of objects (row and column objects) are characterized by a matrix of numerical values that describe their mutualâ€¦ (More)