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Positive matches

• 0.039 + - Convolutional neural network
• 0.024 + - Science policy
• 0.019 + - Continuous embedding
• 0.017 + - Public health policy
• 0.016 + - Industry-Academic Partnership
• 0.016 + - Probability distribution
• 0.011 + - Probability, Paradox, and the Reasonable Person Principle
• 0.011 + - Paper/MacKay1991
• 0.011 + - Information theory
• 0.009 + - GraphSAGE
• 0.008 + - GloVe
• 0.007 + - Migration
• 0.006 + - Paper/Tshitoyan2019unsupervised
• 0.006 + - Edwin Thompson Jaynes
• 0.006 + - NLP
• 0.006 + - Stochastic process
• 0.006 + - Bayesian inference
• 0.005 + - Scientific communication
• 0.005 + - Topic modeling
• 0.005 + - Recurrent neural network

Negative matches

• 0.015 + - skorch
• 0.008 + - tf-idf
• 0.007 + - Decision tree
• 0.004 + - tfidf
• 0.001 + - Python/Modules
• 0.000 + - Tim Hopper
• 0.000 + - Random forest
• 0.000 + - Python
• 0.000 + - Boosting (machine learning)
• 0.000 + - scikit-learn
• 0.000 + - Stability selection
• 0.000 + - Javascript
• 0.000 + - Tom M. MItchell
• 0.000 + - Sargur Srihari
• 0.000 + - Automated machine learning
• 0.000 + - Dimensionality reduction
• 0.000 + - Cross validation
• 0.000 + - Python vs. R
• 0.000 + - Global Interpreter Lock
• 0.000 + - Gilles Louppe