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I use neural networks for online sequence prediction. The performance of the LSTM in Keras (using Tensorflow) in this case, however, is not nearly as good it should. Maybe someone can help me understa…
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The documentation still has not been updated to show how to use those models under the 3.0 API.
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I can add to cltk stopwords of Old Norse. Resources for Old Norse are not enough developped, so I would like to help for that and probably for further things.
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Segue, ao final, a lista de todos os ISBNs contidos na Biblioteca fisica, quais foram cadastrados com sucesso.
#### Problemas encontrados durante o cadastro:
- Existem livros com ISBNs diferente…
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In Laura B.M. Gutierrez's PhD thesis, she tried HMM coupled with UCB for Learning in our setting. See [this presentation](https://speakerdeck.com/scee_team/laura-melian-gutierrez-cognitive-radio-in-h…
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Hi sir, when I use the HMM model to classify my sequences by using your codes I just specify the number of hidden states in this codes below:
`new HiddenMarkovClassifier(classes.Count,
…
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The input for labels needs to be more clear as to what it's looking for. Currently I have
modelWave = HiddenMarkovModel('Gestures').from_samples(NormalDistribution, 3, training, labels=[sw…
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Hi,
Would the Figaro project benefit from a scalable, distributed MCMC implementation? Spark seems to be a natural candidate for this.
This kind of work has been done using PySpark on pymc: http://b…
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[**CODE CHALLENGE**](https://stepik.org/lesson/Hidden-Markov-Models-Code-Challenges-(Week-1)-11594/step/6?course=Stepic-Interactive-Text-for-Week-4&unit=9008): Implement the Viterbi algorithm solving …
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These are the papers I've added to the reference analysis, so you can choose some of them from here:
- GPU-based parallel genetic approach to large-scale travelling salesman problem
- GPU-based pa…