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Positive matches
- 0.088 + - Graph embedding
- 0.028 + - Migration
- 0.025 + - Paper/Nielsen2017
- 0.025 + - Probability theory
- 0.025 + - Sentence embedding
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- 0.011 + - Continuous embedding
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- 0.007 + - Paper/Tshitoyan2019unsupervised
- 0.007 + - GloVe
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- 0.005 + - Map of science
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Negative matches
- 0.030 + - Lexical feature selection
- 0.025 + - G. Dobínski
- 0.006 + - Kullback–Leibler divergence
- 0.006 + - Cross entropy
- 0.006 + - Gibbs' inequality
- 0.006 + - David Feldman
- 0.006 + - Machine learning
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- 0.006 + - Pointwise mutual information
- 0.006 + - Information Theory, Inference, and Learning Algorithms
- 0.003 + - Class imbalance
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- 0.002 + - Boosting (machine learning)
- 0.001 + - Class imbalance problem
- 0.001 + - tf-idf
- 0.000 + - Future of work
- 0.000 + - Regex
- 0.000 + - Gradient descent
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