Search "+Peter Norvig +Automated machine learning +Class imbalance problem +Travelling salesman problem -Probability, Paradox, and the Reasonable Person Principle +Cross validation +Cluster analysis +Machine learning +Machine learning for healthcare -Data clustering +Gradient descent -EM algorithm -Ulrike von Luxburg +Neural network -Paper/Srivastava2014"

Positive matches

• 0.114 + - Class imbalance
• 0.041 + - Neuron
• 0.026 + - Recommender system
• 0.012 + - Privacy and Deanonymization
• 0.012 + - Learning
• 0.012 + - Future of work
• 0.012 + - scikit-learn
• 0.011 + - Liquid state machine
• 0.011 + - Poker
• 0.011 + - Jupyter/notebook
• 0.011 + - Boosting (machine learning)
• 0.010 + - Recurrent neural network
• 0.010 + - IPython notebook
• 0.009 + - Deep learning
• 0.009 + - Jack Terwilliger
• 0.009 + - Neural Turing machine
• 0.008 + - Regular expression
• 0.007 + - word2vec
• 0.007 + - Regex
• 0.006 + - Decision tree

Negative matches

• 0.010 + - Ruslan Salakhutdinov
• 0.010 + - Geoffrey Hinton
• 0.010 + - Alex Krizhevsky
• 0.010 + - Nitish Srivastava
• 0.009 + - Paper
• 0.004 + - Dropout
• 0.000 + - Gender bias
• 0.000 + - Paper/Perozzi2014
• 0.000 + - GloVe
• 0.000 + - Chris McCormick
• 0.000 + - Paper/Levy2014a
• 0.000 + - Clinical concept embedding
• 0.000 + - Paper/Bahdanau2015