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 +Ulrike von Luxburg +Residual leanrning -Machine learning"

Positive matches

• 0.119 + - Class imbalance
• 0.075 + - Residual Learning
• 0.068 + - Pathogen transmission
• 0.030 + - Language
• 0.027 + - Meta learning
• 0.024 + - Brain network
• 0.023 + - Gradient descent
• 0.022 + - Recommender system
• 0.021 + - Learning
• 0.013 + - Jupyter/notebook
• 0.012 + - Poker
• 0.012 + - IPython notebook
• 0.009 + - Boosting (machine learning)
• 0.008 + - Network alignment
• 0.007 + - Graph matching
• 0.007 + - Identity resolution
• 0.007 + - Degree of anonymity
• 0.007 + - Social network
• 0.007 + - Social networks
• 0.007 + - Link prediction

Negative matches

• 0.002 + - Rob Schapire
• 0.002 + - Tim Hopper
• 0.002 + - Netflix prize
• 0.002 + - LargeVis
• 0.002 + - David MacKay
• 0.002 + - PCA
• 0.002 + - jQuery
• 0.002 + - Ron Meir
• 0.002 + - Jeff Atwood
• 0.002 + - https://developer.mozilla.org/en/JavaScript/Guide
• 0.002 + - Cross entropy
• 0.002 + - CoffeeScript
• 0.002 + - Atwood's law
• 0.002 + - David Feldman
• 0.002 + - Information Theory, Inference, and Learning Algorithms
• 0.001 + - MDS
• 0.001 + - Yoav Freund
• 0.001 + - tf-idf
• 0.001 + - Python/Modules
• 0.001 + - D3