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 -Netflix prize +Poker +Aging brain -GraphLab"

Positive matches

• 0.202 + - Machine learning
• 0.113 + - Class imbalance
• 0.089 + - Brain network
• 0.025 + - Gradient descent
• 0.016 + - Network similarity
• 0.015 + - Spatial network
• 0.014 + - Future of work
• 0.013 + - Learning
• 0.013 + - Boosting (machine learning)
• 0.012 + - Jupyter/notebook
• 0.010 + - IPython notebook
• 0.009 + - Privacy and Deanonymization
• 0.008 + - scikit-learn
• 0.006 + - Deep learning
• 0.006 + - Multilayer network
• 0.005 + - Regular expression
• 0.005 + - Caenorhabditis elegans
• 0.004 + - https://github.com/JohnLangford/vowpal_wabbit/wiki
• 0.004 + - Python#Modules_.26_Libraries
• 0.004 + - Image completion

Negative matches

• 0.022 + - Network analysis libraries
• 0.005 + - Neural doodle
• 0.004 + - Meta learning
• 0.004 + - Attention (Deep learning)
• 0.004 + - Language
• 0.003 + - Machine translation
• 0.003 + - Deep generative models
• 0.002 + - Beer
• 0.002 + - Paper/Gatys2015
• 0.002 + - Theano
• 0.001 + - Residual leanrning
• 0.001 + - Residual Learning
• 0.001 + - Long short-term memory
• 0.001 + - Dropout
• 0.001 + - Amazon Elastic Compute Cloud
• 0.001 + - Paper/Hochreiter1997
• 0.000 + - StanfordNLP
• 0.000 + - Attention
• 0.000 + - Musical composition