Search "+Peter Norvig +Automated machine learning +Class imbalance problem +Travelling salesman problem +Machine learning -Andrew Ng +Carlos Guestrin -Probability, Paradox, and the Reasonable Person Principle +Weka +Probability +Training dataset +Boosting (machine learning) +Gradient descent -Neural network"

Positive matches

• 0.114 + - Class imbalance
• 0.024 + - Neuron
• 0.024 + - Probability theory
• 0.024 + - Probability distribution
• 0.022 + - Recommender system
• 0.020 + - Rob Schapire
• 0.020 + - Ron Meir
• 0.020 + - Yoav Freund
• 0.015 + - IPython notebook
• 0.013 + - Jupyter/notebook
• 0.012 + - Learning
• 0.012 + - Poker
• 0.009 + - Privacy and Deanonymization
• 0.008 + - Future of work
• 0.008 + - Regular expression
• 0.007 + - Decision tree
• 0.007 + - Cross validation
• 0.007 + - Sargur Srihari
• 0.007 + - Artificial neural network
• 0.007 + - Michael I. Jordan

Negative matches

• 0.034 + - Deep learning
• 0.020 + - Paper/Srivastava2014
• 0.008 + - Liquid state machine
• 0.007 + - Jack Terwilliger
• 0.007 + - Neural Turing machine
• 0.007 + - Recurrent neural network
• 0.007 + - word2vec
• 0.007 + - Ilya Sutskever
• 0.006 + - Graph embedding
• 0.005 + - Dropout
• 0.004 + - Hierarchical softmax
• 0.004 + - sense2vec
• 0.003 + - WordRank
• 0.002 + - Paper/Graves2014NTM
• 0.002 + - Wolfgang Maass
• 0.002 + - Google
• 0.002 + - Natural language processing
• 0.002 + - Paper/Levy2014
• 0.002 + - Continuous embedding
• 0.002 + - Attention (Deep learning)