Learning in Logic

By Geoffrey I. Webb, Claude Sammut, Claudia Perlich, Tamás Horváth, Stefan Wrobel, Kevin B. Korb, W. S. Noble, Christina S. Leslie, Michail G. Lagoudakis, Novi Quadrianto and 8 more. 2010

104 citations recorded by the source corpus.

How researchers see this paper

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

1. P. V. D. Putten
2. Aske Plaat
3. Deepak Soekhoe
4. Miquel Perelló Nieto

Citations in the corpus

• Deep learning in neural networks: An overview (2014, background): “Related work was published several years later (LeCun, 1985, 1988; Parker, 1985).”
• On the Impact of Data Set Size in Transfer Learning Using Deep Neural Networks (2016, background): “Moreover, during the 1970s and 1980s research was done on the gradient descent optimization in MLPs [39,52,58,71].”
• Merging chrominance and luminance in early, medium, and late fusion using Convolutional Neural Networks (2015, methodology): “For example, the same concept was proposed in Werbos PhD thesis [Werbos, 1974], and was simultaneously applied by Yann Le Cun45 in his PhD thesis [LeCun, 1985; Le Cun, 1986] to propagate “virtual target values” and one year earlier by Parker in his report “Learning-logic” [Parker, 1985].”