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Long short-term memory.
Hochreiter S, Schmidhuber J. Hochreiter S, et al. Neural Comput. 1997 Nov 15;9(8):1735-80. doi: 10.1162/neco.1997.9.8.1735. Neural Comput. 1997. PMID: 9377276
Parameter-exploring policy gradients.
Sehnke F, Osendorfer C, Rückstiess T, Graves A, Peters J, Schmidhuber J. Sehnke F, et al. Neural Netw. 2010 May;23(4):551-9. doi: 10.1016/j.neunet.2009.12.004. Epub 2009 Dec 16. Neural Netw. 2010. PMID: 20061118
Training recurrent networks by Evolino.
Schmidhuber J, Wierstra D, Gagliolo M, Gomez F. Schmidhuber J, et al. Neural Comput. 2007 Mar;19(3):757-79. doi: 10.1162/neco.2007.19.3.757. Neural Comput. 2007. PMID: 17298232
Self-organizing nets for optimization.
Milano M, Koumoutsakos P, Schmidhuber J. Milano M, et al. IEEE Trans Neural Netw. 2004 May;15(3):758-65. doi: 10.1109/TNN.2004.826132. IEEE Trans Neural Netw. 2004. PMID: 15384562
Learning to forget: continual prediction with LSTM.
Gers FA, Schmidhuber J, Cummins F. Gers FA, et al. Neural Comput. 2000 Oct;12(10):2451-71. doi: 10.1162/089976600300015015. Neural Comput. 2000. PMID: 11032042
Long short-term memory (LSTM; Hochreiter & Schmidhuber, 1997) can solve numerous tasks not solvable by previous learning algorithms for recurrent neural networks (RNNs). ...
Long short-term memory (LSTM; Hochreiter & Schmidhuber, 1997) can solve numerous tasks not solvable by previous learning algorith …
Feature extraction through LOCOCODE.
Hochreiter S, Schmidhuber J. Hochreiter S, et al. Neural Comput. 1999 Apr 1;11(3):679-714. doi: 10.1162/089976699300016629. Neural Comput. 1999. PMID: 10085426 Review.
Flat minima.
Hochreiter S, Schmidhuber J. Hochreiter S, et al. Neural Comput. 1997 Jan 1;9(1):1-42. doi: 10.1162/neco.1997.9.1.1. Neural Comput. 1997. PMID: 9117894
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