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Positive matches

• 0.060 + - Lexical feature selection
• 0.049 + - Network geometry
• 0.038 + - Graph embedding
• 0.027 + - Interdisciplinary research
• 0.026 + - Sentence embedding
• 0.025 + - Science policy
• 0.022 + - Data analysis
• 0.019 + - Industry-Academic Partnership
• 0.017 + - Public health policy
• 0.011 + - Communication
• 0.011 + - Paper/MacKay1991
• 0.011 + - GloVe
• 0.010 + - word2vec
• 0.008 + - CNN
• 0.007 + - Embedded topic model
• 0.007 + - Topic model
• 0.005 + - Edwin Thompson Jaynes
• 0.005 + - David Feldman
• 0.005 + - Collaborative software
• 0.005 + - Probability

Negative matches

• 0.009 + - Class imbalance problem
• 0.001 + - Regex
• 0.001 + - Stability selection
• 0.001 + - Weka
• 0.001 + - Python/Modules
• 0.001 + - Tom M. MItchell
• 0.001 + - Learning
• 0.001 + - Training dataset
• 0.001 + - Naive Bayes classifier
• 0.001 + - Michael I. Jordan
• 0.001 + - Random forest
• 0.001 + - Carlos Guestrin
• 0.001 + - https://github.com/JohnLangford/vowpal_wabbit/wiki
• 0.001 + - Artificial neural network
• 0.001 + - Machine learning for healthcare
• 0.001 + - GraphLab
• 0.001 + - Andrew Ng
• 0.001 + - Javascript
• 0.001 + - Machine learning for physical sciences
• 0.001 + - EM algorithm