Search "+Peter Norvig +Automated machine learning +Class imbalance problem +Travelling salesman problem -Probability, Paradox, and the Reasonable Person Principle +Cross validation +Cluster analysis +Artificial neural network +Data clustering +Privacy and Deanonymization +Deep learning +Pathogen transmission +Identity resolution +Ulrike von Luxburg -Spatial network"

Positive matches

• 0.200 + - Machine learning
• 0.107 + - Class imbalance
• 0.062 + - Social network
• 0.033 + - Epidemiology
• 0.030 + - Network alignment
• 0.024 + - Gradient descent
• 0.019 + - Recommender system
• 0.018 + - Language
• 0.013 + - IPython notebook
• 0.011 + - Poker
• 0.011 + - Jupyter/notebook
• 0.011 + - Boosting (machine learning)
• 0.009 + - Future of work
• 0.009 + - Learning
• 0.008 + - scikit-learn
• 0.008 + - Residual leanrning
• 0.008 + - Vitaly Shmatikov
• 0.007 + - Graph matching
• 0.007 + - Social networks
• 0.007 + - Link prediction

Negative matches

• 0.022 + - City
• 0.022 + - Road network
• 0.002 + - Danielle Bassett
• 0.002 + - Gregory Jefferis
• 0.002 + - Geoffrey West
• 0.002 + - MRC Laboratory of Molecular Biology
• 0.002 + - Brain development
• 0.002 + - Michael Batty
• 0.002 + - Functional magnetic resonance imaging
• 0.002 + - Ed Bullmore
• 0.002 + - Efficiency of brain
• 0.002 + - Indiana University
• 0.002 + - Luis Bettencourt
• 0.002 + - Diffusion-limited aggregation
• 0.002 + - Olaf Sporns
• 0.002 + - Hyejin Youn
• 0.002 + - Santiago Ramón y Cajal
• 0.002 + - University of Cambridge
• 0.001 + - Transcranial direct-current stimulation
• 0.001 + - Transcranial alternating current stimulation