Adaptive, learning, and pattern recognition systems: Theory and applications

By K. Narendra. 1972

How researchers see this paper

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

1. J. Urgen Schmidhuber
2. Yoshua Bengio
3. Sergey Levine
4. Quoc V. Le
5. L. Eon Bottou
6. Trevor Darrell
7. Ruslan Salakhutdinov
8. Dacheng Tao

Citations in the corpus

• Deep learning in neural networks: An overview (2014, methodology): “…of Data Handling (GMDH) (Ivakhnenko, 1968, 1971; Ivakhnenko & Lapa, 1965; Ivakhnenko, Lapa, & McDonough, 1967) were perhaps the first DL systems of the Feedforward Multilayer Perceptron type, although there was earlier work on NNs with a single hidden layer (e.g., Joseph, 1961; Viglione, 1970).”
• Online Learning and Stochastic Approximations (1998, background): “Many authors of course have stressed this less-than-fortuitous similarity between learning algorithms and recursive adaptation algorithms (Mendel and Fu, 1970) (Tsypkin, 1971).”