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Gradient flow in recurrent nets: the difficulty of learning long-term dependencies

, , , and . A Field Guide to Dynamical Recurrent Neural Networks, IEEE Press, (2001)

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A Novel Connectionist System for Unconstrained Handwriting Recognition, , , , , and . IEEE Transactions on Pattern Analysis and Machine Intelligence, 31 (5): 855--868 (May 2009)Optimal Artificial Curiosity, Developmental Robotics, Creativity, Music, and the Fine Arts. Connection Science, (2006)Exploring the predictable. Advances in Evolutionary Computing: theory and applications, Springer-Verlag New York, (2003)Evolino: Hybrid Neuroevolution / Optimal Linear Search for Sequence Prediction, , and . Proceedings of the 19th International Joint Conference on Artificial Intelligence (IJCAI), page 853--858. (2005)Comparing LSTM Recurrent Networks and Spiking Recurrent Networks on the Recognition of Spoken Digits, , and . IDSIA-13-03. IDSIA, www.idsia.ch/\-techrep.html, (May 2003)Kalman filters improve LSTM network performance in problems unsolvable by traditional recurrent nets, , , and . (2003)Reinforcement driven information acquisition in nondeterministic environments, and . Fakultät für Informatik, Technische Universität München, (1993)Using Data Compressors to Construct Order Tests for Homogeneity and Component Independence, and . Applied Mathematics Letters (accepted), (2008)Isolated Digit Recognition with LSTM Recurrent Networks, , , and . First International Workshop on Biologically Inspired Approaches to Advanced Information Technology, Lausanne, (2003)Gödel machines: self-referential universal problem solvers making provably optimal self-improvements. IDSIA-19-03, arXiv:cs.LO/0309048. IDSIA, Manno-Lugano, Switzerland, (2003)