Search "+Peter Norvig +Automated machine learning +Class imbalance problem +Travelling salesman problem -Probability, Paradox, and the Reasonable Person Principle +Cross validation +Cluster analysis +Computer science -Ulrike von Luxburg +Class imbalance +scikit-learn +Boosting (machine learning) -Data clustering +Gradient descent -Neuron"

Positive matches

• 0.263 + - Machine learning
• 0.027 + - Decision tree
• 0.024 + - Recommender system
• 0.017 + - Ron Meir
• 0.017 + - Yoav Freund
• 0.017 + - Rob Schapire
• 0.016 + - Random forest
• 0.015 + - tfidf
• 0.013 + - IPython notebook
• 0.012 + - Python/Modules
• 0.012 + - Deep learning
• 0.011 + - Poker
• 0.011 + - Jupyter/notebook
• 0.011 + - skorch
• 0.010 + - Bookshelf
• 0.010 + - Lexical feature selection
• 0.010 + - Python
• 0.010 + - Learning
• 0.010 + - Privacy and Deanonymization
• 0.010 + - Tim Hopper

Negative matches

• 0.032 + - Neural network
• 0.001 + - Gender bias
• 0.001 + - sense2vec
• 0.001 + - Paper/Levy2014a
• 0.001 + - Clinical concept embedding
• 0.001 + - Long short-term memory
• 0.001 + - Paper/Perozzi2014
• 0.001 + - Chris McCormick
• 0.001 + - Wolfgang Maass
• 0.000 + - Paper/Hochreiter1997
• 0.000 + - word2vec
• 0.000 + - Paper/Bahdanau2015
• 0.000 + - Rami Al-Rfou
• 0.000 + - Ivo Danihelka
• 0.000 + - KoNLPy
• 0.000 + - Sentiment analysis
• 0.000 + - Topic modeling
• 0.000 + - GloVe
• 0.000 + - Google
• 0.000 + - Paper