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 +Ulrike von Luxburg +Recommender system +Privacy and Deanonymization +Pathogen transmission -Brain network"

Positive matches

• 0.248 + - Machine learning
• 0.121 + - Class imbalance
• 0.043 + - Social network
• 0.037 + - Gradient descent
• 0.036 + - Netflix prize
• 0.036 + - Epidemiology
• 0.025 + - Deep learning
• 0.014 + - Learning
• 0.013 + - Jupyter/notebook
• 0.012 + - IPython notebook
• 0.012 + - Boosting (machine learning)
• 0.012 + - Poker
• 0.011 + - Future of work
• 0.009 + - Graph matching
• 0.008 + - Degree of anonymity
• 0.008 + - Network alignment
• 0.008 + - Vitaly Shmatikov
• 0.007 + - Random forest
• 0.007 + - Identity resolution
• 0.007 + - Social networks

Negative matches

• 0.013 + - Caenorhabditis elegans
• 0.012 + - C. elegans
• 0.010 + - Allen Institute for Brain Science
• 0.007 + - Similarity
• 0.007 + - Brain and deep learning
• 0.004 + - Brain structural variation
• 0.004 + - Danielle Bassett
• 0.004 + - Dmitri B. Chklovskii
• 0.004 + - Gregory Jefferis
• 0.004 + - Controlling brain dynamics
• 0.004 + - Brain development
• 0.004 + - MRC Laboratory of Molecular Biology
• 0.004 + - Functional magnetic resonance imaging
• 0.004 + - Ed Bullmore
• 0.004 + - Efficiency of brain
• 0.004 + - Indiana University
• 0.004 + - Olaf Sporns
• 0.004 + - Santiago Ramón y Cajal
• 0.004 + - University of Cambridge
• 0.003 + - Brain