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1990 – 1999
- 1997
[j4]Martin Eldracher, Alexander Staller, René Pompl:
Adaptive Encoding Strongly Improves Function Approximation with CMAC. Neural Comput. 9(2): 403-417 (1997)- [c2]Martin Eldracher, Thomas Pic:
Path Planning Using a Subgoal Graph. Foundations of Computer Science: Potential - Theory - Cognition 1997: 473-480 - 1996
- [b1]Martin Eldracher:
Planung kinematischer Trajektorien für Manipulatoren mit Hilfe von Subzielen und neuronalen Netzen. Technical University Munich, DISKI 111, Infix 1996, ISBN 978-3-89601-111-4, pp. I-XVII, 1-206 - [j3]Jürgen Schmidhuber, Martin Eldracher, Bernhard Foltin:
Semilinear Predictability Minimization Produces Well-Known Feature Detectors. Neural Comput. 8(4): 773-786 (1996) - 1993
- [j2]Martin Eldracher:
Neuro Nimes 92. Künstliche Intell. 7(2): 53 (1993) - 1992
- [j1]Martin Eldracher:
1992 Symposium on Applied Computing (SAC '92). Künstliche Intell. 6(2): 43 (1992) - [c1]Martin Eldracher:
Classification of non-linear-separable real-world-problems using Δ-rule, perceptrons, and topologically distributed encoding. SAC 1992: 1098-1104 - [i2]Martin Eldracher:
Classification of non-linear separable real world problems using Δ-rule [delta rule], perceptrons, and topologically distributed encoding. Forschungsberichte, TU Munich FKI 167 92: 1-7 (1992) - [i1]Martin Eldracher, Daniel Hernández, Margit Kinder:
Concept of an integrated trajectory generation system. Forschungsberichte, TU Munich FKI 171 92: 1-18 (1992)
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