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Positive matches

• 0.053 + - Lexical feature selection
• 0.041 + - Interdisciplinary research
• 0.030 + - Text analysis
• 0.023 + - Probability theory
• 0.017 + - Industry-Academic Partnership
• 0.015 + - Paper/MacKay1991
• 0.015 + - Class imbalance problem
• 0.011 + - Sentence embedding
• 0.011 + - Migration
• 0.011 + - Graph embedding
• 0.008 + - David Feldman
• 0.008 + - Cross entropy
• 0.007 + - Network geometry
• 0.007 + - Peer review
• 0.006 + - Scientific communication
• 0.006 + - Kullback–Leibler divergence
• 0.006 + - Word embedding
• 0.006 + - Software engineering
• 0.006 + - Gibbs' inequality
• 0.006 + - Automated machine learning

Negative matches

• 0.003 + - ONR
• 0.002 + - Programming interview
• 0.002 + - IARPA
• 0.002 + - DTRA
• 0.002 + - NIH
• 0.002 + - National Science Foundation
• 0.002 + - James S. McDonnell Foundation
• 0.002 + - IBM
• 0.002 + - NGA
• 0.002 + - DARPA
• 0.002 + - Mellon Foundation
• 0.002 + - Google
• 0.002 + - ARL
• 0.001 + - Google scholar
• 0.001 + - Mark Alber
• 0.001 + - Army Research Laboratories
• 0.001 + - Nitesh Chawla
• 0.001 + - Joseph A. Bonito
• 0.001 + - Mark Newman
• 0.001 + - NEH