Search "+Peter Norvig +Automated machine learning +Class imbalance problem +Travelling salesman problem -Probability, Paradox, and the Reasonable Person Principle +Cross validation +Cluster analysis +Computer science +Science policy -Data clustering +Industry-Academic Partnership +Science -Policy -National Science Foundation"

Positive matches

• 0.184 + - Machine learning
• 0.110 + - Class imbalance
• 0.051 + - Interdisciplinary research
• 0.024 + - Ulrike von Luxburg
• 0.022 + - Gradient descent
• 0.021 + - Recommender system
• 0.020 + - Research funding
• 0.013 + - Bookshelf
• 0.013 + - IPython notebook
• 0.012 + - Poker
• 0.011 + - Jupyter/notebook
• 0.010 + - Learning
• 0.009 + - Boosting (machine learning)
• 0.009 + - Software engineering
• 0.008 + - Migration
• 0.008 + - scikit-learn
• 0.007 + - Data mining
• 0.007 + - Privacy and Deanonymization
• 0.007 + - Deep learning
• 0.006 + - Social computing

Negative matches

• 0.036 + - Public health policy
• 0.020 + - Computational social science
• 0.014 + - Research advices
• 0.003 + - Big data
• 0.003 + - Albert-László Barabási
• 0.003 + - NSF CAREER
• 0.003 + - network science
• 0.003 + - Hernán Makse
• 0.003 + - Joseph A. Bonito
• 0.003 + - Omar Lizardo
• 0.003 + - Mark Alber
• 0.003 + - IGERT
• 0.003 + - Mark Newman
• 0.003 + - Peter Dodds
• 0.003 + - Jayanth Banavar
• 0.003 + - Zoltán Toroczkai
• 0.003 + - David Hachen
• 0.003 + - Réka Albert
• 0.003 + - Juan Restrepo
• 0.003 + - Katy Börner