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- Shlomo Geva, Joaquin Sitte
- IEEE Trans. Neural Networks
- 1991

A variant of nearest-neighbor (NN) pattern classification and supervised learning by learning vector quantization (LVQ) is described. The decision surface mapping method (DSM) is a fast supervisedâ€¦ (More)

- S. Geva, Joaquin Sitte
- IEEE Control Systems
- 1993

The inverted pendulum problem, i.e., the cartpole, which is often used for demonstrating the success of neural network learning methods, is addressed. It is shown that a random search in weight spaceâ€¦ (More)

- Renate Sitte, Joaquin Sitte
- Applied Intelligence
- 2002

Predictions of financial time series often show a characteristic one step shift relative to the original data as in a random walk. This has been the cause for opposing views whether such time seriesâ€¦ (More)

- Erik Berglund, Joaquin Sitte
- IEEE Transactions on Neural Networks
- 2006

The parameterless self-organizing map (PLSOM) is a new neural network algorithm based on the self-organizing map (SOM). It eliminates the need for a learning rate and annealing schemes for learningâ€¦ (More)

One of the biggest problems facing practical applications of Self-Organising Maps (SOM) is their dependence on the learning rate, the size of the neighbourhood function and the decrease of theseâ€¦ (More)

- Erik Berglund, Joaquin Sitte
- 2005 IEEE/RSJ International Conference onâ€¦
- 2005

This paper presents a novel method for enabling a robot to determine the direction to a sound source through interacting with its environment. The method uses a new neural network, the parameter-lessâ€¦ (More)

- Felix Werner, FrÃ©dÃ©ric Maire, Joaquin Sitte, Howie Choset, Stephen Tully, George Kantor
- 2009 IEEE/RSJ International Conference onâ€¦
- 2009

Perceptual aliasing makes topological navigation a difficult task. In this paper we present a general approach for topological SLAM (simultaneous localisation and mapping) which does not requireâ€¦ (More)

- Renate Sitte, Joaquin Sitte
- IEEE Trans. Systems, Man, and Cybernetics, Part C
- 2000

- Shlomo Geva, Joaquin Sitte
- IEEE Trans. Neural Networks
- 1992

Mathematical theorems establish the existence of feedforward multilayered neural networks, based on neurons with sigmoidal transfer functions, that approximate arbitrarily well any continuousâ€¦ (More)

- Shlomo Geva, Kurt Malmstrom, Joaquin Sitte
- Neurocomputing
- 1998