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 -Ulrike von Luxburg +Science policy +Policy +scikit-learn +Random forest -Research funding"

Positive matches

• 0.212 + - Machine learning
• 0.121 + - Class imbalance
• 0.036 + - Public health policy
• 0.035 + - Decision tree
• 0.029 + - Gradient descent
• 0.027 + - Recommender system
• 0.025 + - tfidf
• 0.025 + - Interdisciplinary research
• 0.025 + - Science
• 0.024 + - Data clustering
• 0.019 + - Gilles Louppe
• 0.017 + - skorch
• 0.015 + - tf-idf
• 0.013 + - IPython notebook
• 0.013 + - Learning
• 0.012 + - Boosting (machine learning)
• 0.012 + - Python
• 0.012 + - Poker
• 0.012 + - Python/Modules
• 0.012 + - Bookshelf

Negative matches

• 0.004 + - NGA
• 0.004 + - Mellon Foundation
• 0.003 + - NIH
• 0.003 + - DARPA
• 0.002 + - IARPA
• 0.002 + - NEH
• 0.002 + - DTRA
• 0.002 + - IBM
• 0.002 + - James S. McDonnell Foundation
• 0.002 + - Katy Börner
• 0.002 + - Army Research Laboratories
• 0.002 + - Google scholar
• 0.002 + - ONR
• 0.002 + - National Science Foundation
• 0.002 + - ARL
• 0.002 + - Google
• 0.001 + - Joseph A. Bonito
• 0.001 + - NSF BIGDATA
• 0.001 + - David Hachen
• 0.001 + - Collaborative software