Learning Fine Motion by Using the Hierarchical Extended Kohonen Map

By Luca Maria GambardellaIDSIA, Corso Elvezia. 1996

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The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. J. Urgen Schmidhuber
2. David R Ha
3. Yoshua Bengio
4. Sergey Levine
5. Quoc V. Le
6. Chelsea Finn
7. Alex Graves
8. Trevor Darrell

Citations in the corpus

• Deep learning in neural networks: An overview (2014, background): “3) self-organizing Kohonen maps (e.g., Koikkalainen and Oja, 1990; Lampinen and Oja, 1992; Versino and Gambardella, 1996; Dittenbach et al., 2000; Rauber et al., 2002), hierarchical Gaussian potential function networks (Lee and Kil, 1991), the Self-Organising Tree Algorithm (SOTA) (Herrero et al.”