Search "+Peter Norvig +Automated machine learning +Class imbalance problem +Travelling salesman problem +Machine learning -Andrew Ng +Carlos Guestrin +Class imbalance +Poker +Python +Deep learning -Probability, Paradox, and the Reasonable Person Principle +Residual leanrning +Artificial neural network -Spatial network"

Positive matches

• 0.070 + - Residual Learning
• 0.025 + - Meta learning
• 0.019 + - Language
• 0.018 + - Pajek
• 0.016 + - IPython notebook
• 0.015 + - Learning
• 0.012 + - Gradient descent
• 0.012 + - Jupyter/notebook
• 0.010 + - Reinforcement learning
• 0.010 + - GraphLab
• 0.009 + - Recommender system
• 0.009 + - Boosting (machine learning)
• 0.007 + - scikit-learn
• 0.006 + - Decision tree
• 0.006 + - https://github.com/JohnLangford/vowpal_wabbit/wiki
• 0.006 + - Image completion
• 0.006 + - Weka
• 0.006 + - Sargur Srihari
• 0.006 + - Kevin Murphy
• 0.006 + - Cross validation

Negative matches

• 0.022 + - City
• 0.022 + - Road network
• 0.002 + - Danielle Bassett
• 0.002 + - Dmitri B. Chklovskii
• 0.002 + - Gregory Jefferis
• 0.002 + - Geoffrey West
• 0.002 + - Michael Batty
• 0.002 + - Brain development
• 0.002 + - MRC Laboratory of Molecular Biology
• 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