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Learning the Long-Term Structure of the Blues

https://doi.org/10.1007/3-540-46084-5_47
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/3-540-46084-5_171openalex-snapshot
Improving Long- Term Online Prediction with Decoupled Extended Kalman Filters
inferredcites →https://doi.org/10.1109/72.963769openalex-snapshot
LSTM recurrent networks learn simple context-free and context-sensitive languages
inferredcites →https://doi.org/10.1109/9780470544037.ch14openalex-snapshot
Gradient Flow in Recurrent Nets: The Difficulty of Learning LongTerm Dependencies
inferredcites →https://doi.org/10.1109/ijcnn.2000.861302openalex-snapshot
Recurrent nets that time and count
inferredcites →https://doi.org/10.1162/neco.1997.9.8.1735openalex-snapshot
Long Short-Term Memory
inferredcites →https://doi.org/10.2307/3679551openalex-snapshot
A Connectionist Approach to Algorithmic Composition
inferredcites →https://doi.org/10.2307/3679552openalex-snapshot
Modeling the Perception of Tonal Structure with Neural Nets

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.5281/zenodo.1414850openalex-extracted
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inferred← citeshttps://doi.org/10.1007/978-3-030-56219-9_21openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-030-72116-9_16openalex-snapshot
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Music Composition with Deep Learning: A Review
inferred← citeshttps://doi.org/10.1007/978-3-031-42505-9_8openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.jallcom.2023.173210openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/ijcnn.2013.6706747openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/mmrp.2019.00022openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/mmrp.2019.8665362openalex-snapshot
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Getting Closer to the Essence of Music
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inferred← citeshttps://doi.org/10.1162/153244303768966139openalex-snapshot
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inferred← citeshttps://doi.org/10.1177/105971230501300303openalex-snapshot
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inferred← citeshttps://doi.org/10.1287/ijoc.1050.0131openalex-snapshot
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inferred← citeshttps://doi.org/10.35378/gujs.679103openalex-snapshot
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inferred← citeshttps://doi.org/10.48550/arxiv.2003.11660openalex-snapshot
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inferred← citeshttps://doi.org/10.5920/jcms.950openalex-snapshot
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inferred← citeshttps://doi.org/10.71910/supsi.7191openalex-snapshot
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