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Positive matches
- 0.106 + - Convolutional neural network
- 0.071 + - Human song
- 0.034 + - Bird
- 0.025 + - How to study
- 0.025 + - Michael Ramscar
- 0.021 + - Music evolution
- 0.019 + - Key detection
- 0.019 + - Humdrum
- 0.017 + - Musical analysis
- 0.017 + - Music information retrieval
- 0.014 + - Residual Learning
- 0.009 + - Food
- 0.008 + - Research advices
- 0.008 + - RNN
- 0.007 + - Music visualization
- 0.007 + - Music software
- 0.007 + - Music theory
- 0.007 + - Musicology
- 0.007 + - Electronic music
- 0.007 + - Recurrent neural network
Negative matches
- 0.033 + - Network analysis libraries
- 0.027 + - Decision tree
- 0.024 + - Machine learning
- 0.017 + - tfidf
- 0.015 + - skorch
- 0.014 + - Python
- 0.014 + - Tim Hopper
- 0.014 + - Python/Modules
- 0.014 + - Random forest
- 0.011 + - tf-idf
- 0.010 + - Artificial neural network
- 0.010 + - Meta learning
- 0.010 + - Machine translation
- 0.009 + - Automated machine learning
- 0.009 + - Class imbalance
- 0.008 + - Neural doodle
- 0.008 + - Linguistic relativity
- 0.008 + - Language detection
- 0.008 + - WALS
- 0.008 + - Language of thought