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 +Graph matching -Ulrike von Luxburg -Machine learning"

Positive matches

• 0.101 + - Class imbalance
• 0.068 + - Social network
• 0.060 + - Network alignment
• 0.031 + - Epidemiology
• 0.031 + - Link prediction
• 0.023 + - Brain network
• 0.019 + - Language
• 0.018 + - Recommender system
• 0.017 + - Gradient descent
• 0.011 + - IPython notebook
• 0.010 + - Poker
• 0.010 + - Jupyter/notebook
• 0.009 + - Boosting (machine learning)
• 0.009 + - Learning
• 0.009 + - Future of work
• 0.008 + - Degree of anonymity
• 0.008 + - Arvind Narayanan
• 0.008 + - Vitaly Shmatikov
• 0.008 + - Social networks
• 0.007 + - Aging brain

Negative matches

• 0.004 + - Probability
• 0.002 + - Tim Hopper
• 0.002 + - t-SNE
• 0.002 + - Yoav Freund
• 0.002 + - UMAP
• 0.002 + - https://developer.mozilla.org/en/JavaScript/Guide
• 0.002 + - CoffeeScript
• 0.002 + - Netflix prize
• 0.001 + - Cross entropy
• 0.001 + - Information Theory, Inference, and Learning Algorithms
• 0.001 + - Ron Meir
• 0.001 + - PCA
• 0.001 + - MDS
• 0.001 + - Atwood's law
• 0.001 + - David MacKay
• 0.001 + - Rob Schapire
• 0.001 + - Closure tools
• 0.001 + - Jeff Atwood
• 0.001 + - LargeVis
• 0.001 + - Python#Modules_.26_Libraries