Search "+Peter Norvig +Automated machine learning +Class imbalance problem +Travelling salesman problem +Machine learning -Andrew Ng +Carlos Guestrin +Class imbalance +Poker +Gradient descent +One-shot learning -Probability, Paradox, and the Reasonable Person Principle +Naive Bayes classifier -Kevin Murphy -Artificial neural network"

Positive matches

• 0.034 + - Neural network
• 0.030 + - Neuron
• 0.012 + - Jupyter/notebook
• 0.011 + - IPython notebook
• 0.010 + - Recommender system
• 0.007 + - Cluster analysis
• 0.007 + - Tom M. MItchell
• 0.007 + - Training dataset
• 0.007 + - Sargur Srihari
• 0.007 + - Image completion
• 0.007 + - Decision tree
• 0.007 + - Privacy and Deanonymization
• 0.007 + - Michael I. Jordan
• 0.007 + - https://github.com/JohnLangford/vowpal_wabbit/wiki
• 0.006 + - Machine learning for healthcare
• 0.006 + - Paradox
• 0.006 + - EM algorithm
• 0.006 + - Dimensionality reduction
• 0.006 + - Cross validation
• 0.006 + - Boosting (machine learning)

Negative matches

• 0.046 + - Deep learning
• 0.022 + - Brain network
• 0.007 + - Spatial network
• 0.004 + - Aging brain
• 0.003 + - Network similarity
• 0.002 + - Brain and deep learning
• 0.002 + - Modular structure of brain
• 0.002 + - Autoencoder
• 0.002 + - Yann LeCun
• 0.002 + - Convolutional neural network
• 0.002 + - Generative adversarial network
• 0.002 + - Multilayer network
• 0.001 + - Differentiable neural computers
• 0.001 + - Residual Learning
• 0.001 + - Caenorhabditis elegans
• 0.001 + - TensorFlow
• 0.001 + - Paper/Vincent2010
• 0.000 + - Keras
• 0.000 + - Marc'Aurelio Ranzato
• 0.000 + - Quoc Le