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Pyndl: Naive discriminative learning in python ...
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Pyndl: Naive discriminative learning in python ...
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Anticipatory coarticulation in predictive articulatory speech modeling ...
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Anticipatory coarticulation in predictive articulatory speech modeling ...
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create_vtl_corpus: Synthesizing a speech corpus with VocalTractLab ...
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Pyndl: Naive discriminative learning in python ...
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create_vtl_corpus: Synthesizing a speech corpus with VocalTractLab ...
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Pyndl: Naive discriminative learning in python ...
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create_vtl_corpus: Synthesizing a speech corpus with VocalTractLab ...
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Pyndl: Naive discriminative learning in python ...
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Pyndl: Naive discriminative learning in python ...
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Pyndl: Naive discriminative learning in python ...
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Pyndl: Naive Discriminative Learning In Python ...
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Pyndl: Naive Discriminative Learning In Python ...
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Pyndl: Naive Discriminative Learning In Python ...
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Pyndl: Naive Discriminative Learning In Python ...
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Pyndl: Naive Discriminative Learning In Python ...
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Pyndl: Naive Discriminative Learning In Python ...
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Pyndl: Naive Discriminative Learning In Python ...
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Pyndl: Naive Discriminative Learning In Python ...
Abstract: fixes integer overflow in uni-dimensional index of weights in ndl.ndl that results in wrong learning in weight matrices with more than 4294967295 cells please relearn any weights where number of cues times numbers of outcomes exceeds 4294967295 (sorry for this bug) thanks to Yuying for finding it ...
Keyword: cognitive science; linguistics; machine learning; naive discriminative learning; python
URL: https://zenodo.org/record/1471494
https://dx.doi.org/10.5281/zenodo.1471494
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