Search "+Machine learning for physical sciences -Class imbalance"

Positive matches

• 0.250 + - Machine learning
• 0.075 + - Automated machine learning
• 0.045 + - Gradient descent
• 0.036 + - Recommender system
• 0.017 + - Graph matching
• 0.017 + - Learning
• 0.011 + - Regex
• 0.010 + - Future of work
• 0.007 + - Regular expression
• 0.007 + - Boosting (machine learning)
• 0.007 + - Privacy and Deanonymization
• 0.006 + - scikit-learn
• 0.006 + - PyTorch
• 0.006 + - Pathogen transmission
• 0.005 + - skorch
• 0.005 + - Neural network
• 0.004 + - Meta learning
• 0.003 + - Python/Modules
• 0.003 + - Network alignment
• 0.002 + - Neuron

Negative matches

• 0.182 + - Class imbalance problem
• 0.013 + - Stability selection
• 0.013 + - Weka
• 0.013 + - Training dataset
• 0.013 + - Naive Bayes classifier
• 0.013 + - Carlos Guestrin
• 0.013 + - EM algorithm
• 0.013 + - https://github.com/JohnLangford/vowpal_wabbit/wiki
• 0.013 + - Artificial neural network
• 0.013 + - Machine learning for healthcare
• 0.013 + - GraphLab
• 0.013 + - Cross validation
• 0.013 + - Tom M. MItchell
• 0.013 + - One-shot learning
• 0.013 + - Kevin Murphy
• 0.013 + - Sargur Srihari
• 0.013 + - Python#Modules_.26_Libraries
• 0.013 + - Michael I. Jordan
• 0.013 + - Cluster analysis
• 0.013 + - Peter Norvig