On the theory of generalization and self-structuring in linearly weighted connectionist networks

By Sean B. Holden. 1993

Citations in the corpus

• Deep learning in neural networks: An overview (2014, background): “See also Amari and Murata (1993), Guyon, Vapnik, Boser, Bottou, and Solla (1992), Holden (1994), Vapnik (1992), Wang, Venkatesh, and Judd (1994) and Wolpert (1994).”
• On Learning to Think: Algorithmic Information Theory for Novel Combinations of Reinforcement Learning Controllers and Recurrent Neural World Models (2015, background): “2 M ’s Training To decrease bitsM + bitsH , we add a regularizing term to E, to punish excessive complexity [4, 5, 91, 294, 155, 135, 97, 170, 169, 104, 290, 7, 290, 87, 286, 319, 100, 102].”