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How to explain ANN can predict much larger output values (e.g., y>2.5) when it was only trained with small output values (y>=2.5)

neural-network regression xgboost generalization

asked 10 mins ago jenneclaire 1

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1

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21

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Analysis of Alternating Decision Tree on Weka

classification decision-trees visualization algorithms weka

modified 15 mins ago Community♦ 1

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Detecting grammatical errors with BERT

nlp bert grammar-inference

modified 1 hour ago Community♦ 1

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vote

1

answer

390

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Is there any NLP library or package which can help in adding comma, punctuation, newlines appropriately to text?

nlp preprocessing

modified 1 hour ago Ethan 1,245

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1

answer

44

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Training a Variational Autoencoder (VAE) for Random Number Generation

machine-learning autoencoder sampling generative-models

modified 2 hours ago Community♦ 1

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94

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How do I predict new/unknown data in Bayesian linear regression?

regression

modified 4 hours ago Community♦ 1

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Loss function returns x whereas tensorflow shows validation loss as (x+0.0567)

keras tensorflow

modified 5 hours ago Community♦ 1

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Is the interval variable considered as a type of numerical variable or ordinal variable?

machine-learning

modified 5 hours ago Rainald62 105

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12

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regarding the inclusion of missclassified data in final training

supervised-learning

answered 5 hours ago Erwan 12.2k

3

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2

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Preprocessing: StandardScaler() Do we really need mean to be zero?

scikit-learn data-cleaning svm preprocessing

answered 6 hours ago Ben Reiniger 6,977

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How does reduction affect training in Keras?

machine-learning python keras

asked 6 hours ago zcb 1

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Is Siamese network rotation invariant?

machine-learning deep-learning

modified 6 hours ago Community♦ 1

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Definition of weak and strong learners

supervised-learning

answered 6 hours ago htl 111

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When to use One Hot Encoding vs LabelEncoder vs DictVectorizor?

scikit-learn categorical-data feature-engineering

modified 7 hours ago Ethan 1,245

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