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Artificial neural networks and their application to sequence recognition

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

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Conventional Fault-Tolerance and Neural Computers
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Occam's Razor
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The Evolution of Learning: An Experiment in Genetic Connectionism
inferredcites →https://doi.org/10.1093/bioinformatics/6.4.319openalex-snapshot
Efficient recognition of immunoglobulin domains from amino acid sequences using a neural network
inferredcites →https://doi.org/10.1109/72.125866openalex-snapshot
Global optimization of a neural network-hidden Markov model hybrid
inferredcites →https://doi.org/10.1109/ijcnn.1991.155621openalex-snapshot
Learning a synaptic learning rule
inferredcites →https://doi.org/10.1162/neco.1989.1.1.151openalex-snapshot
What Size Net Gives Valid Generalization?
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A Maximization Technique Occurring in the Statistical Analysis of Probabilistic Functions of Markov Chains

What points at this work

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

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Learning the dynamic nature of speech with back-propagation for sequences
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Sequence recognition with radial basis function networks: experiments with spoken digits
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Fundamentals of speech recognition
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Deep learning in neural networks: An overview
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Learning long-term dependencies with gradient descent is difficult
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Combining TDNN and HMM in a hybrid system for improved continuous-speech recognition
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Continuous emotion recognition using a particle swarm optimized NARX neural network
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Generating Musical Expression of MIDI Music with LSTM Neural Network
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Connectionist word-level classification in speech recognition
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The problem of learning long-term dependencies in recurrent networks
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Preprocessing and neural classification of English stop consonants [b, d, g, p, t, k]
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Legal Transition Sequence Recognition of a Bounded Petri Net Using a Gate Recurrent Unit
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Deep Learning: Methods and Applications
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The k-means clustering technique: General considerations and implementation in Mathematica
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Искусственный интеллект: развитие и тревоги. Взгляд в будущее. Статья вторая. Искусственный интеллект: терра инкогнита или управляемая сила?
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Learnability and semantic universals
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