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Positive matches

• 0.054 + - Graph embedding
• 0.033 + - Interdisciplinary research
• 0.028 + - Science policy
• 0.027 + - Industry-Academic Partnership
• 0.026 + - Lexical feature selection
• 0.025 + - Probability theory
• 0.024 + - Migration
• 0.019 + - Probability
• 0.017 + - Public health policy
• 0.016 + - Sentence embedding
• 0.011 + - Communication
• 0.010 + - Sure Thing hypothesis
• 0.010 + - How to study
• 0.009 + - Natural language processing
• 0.009 + - Paper
• 0.008 + - Michael Ramscar
• 0.008 + - Deep learning
• 0.007 + - Continuous embedding
• 0.006 + - Scientific publication
• 0.006 + - Larry Wasserman

Negative matches

• 0.011 + - Class imbalance problem
• 0.001 + - Deep generative models
• 0.001 + - Regex
• 0.001 + - Stability selection
• 0.001 + - Weka
• 0.001 + - Training dataset
• 0.001 + - Naive Bayes classifier
• 0.001 + - Carlos Guestrin
• 0.001 + - EM algorithm
• 0.001 + - https://github.com/JohnLangford/vowpal_wabbit/wiki
• 0.001 + - Artificial neural network
• 0.001 + - GraphLab
• 0.001 + - Javascript
• 0.001 + - Machine learning for physical sciences
• 0.001 + - Python/Modules
• 0.001 + - Image completion
• 0.001 + - Boosting (machine learning)
• 0.001 + - Privacy and Deanonymization
• 0.001 + - Gilles Louppe
• 0.001 + - Yann LeCun