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 +tf-idf +Boosting (machine learning) +scikit-learn +PyTorch -Yoav Freund -PyTorch-BigGraph"

Positive matches

• 0.126 + - Class imbalance
• 0.043 + - skorch
• 0.035 + - Decision tree
• 0.034 + - tfidf
• 0.031 + - Gradient descent
• 0.029 + - Recommender system
• 0.028 + - Text analysis
• 0.025 + - Lexical feature selection
• 0.024 + - Ulrike von Luxburg
• 0.024 + - Data clustering
• 0.021 + - Pointwise mutual information
• 0.018 + - Random forest
• 0.018 + - Rob Schapire
• 0.018 + - Ron Meir
• 0.015 + - Python/Modules
• 0.015 + - Privacy and Deanonymization
• 0.014 + - Python
• 0.014 + - Learning
• 0.013 + - NLTK
• 0.013 + - Gensim

Negative matches

• 0.064 + - Network geometry
• 0.033 + - Graph embedding
• 0.001 + - Embedded topic model
• 0.000 + - Topic mapping
• 0.000 + - sense2vec
• 0.000 + - Topic modeling
• 0.000 + - NLP
• 0.000 + - Topic model
• 0.000 + - Word embedding
• 0.000 + - Sentence embedding
• 0.000 + - Softmax function
• 0.000 + - WordRank
• 0.000 + - Hierarchical softmax
• 0.000 + - Convolutional neural network
• 0.000 + - Paper/Levy2014
• 0.000 + - Dropout