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) +Gensim +Gradient descent -Text analysis"
Pages related to:
- Peter Norvig
- Automated machine learning
- Class imbalance problem
- Travelling salesman problem
- Cross validation
- Cluster analysis
- Machine learning
- Machine learning for healthcare
- tf-idf
- Boosting (machine learning)
- Gensim
- Gradient descent
but not related to:
Positive matches
- 0.135 + - Class imbalance
- 0.040 + - Recommender system
- 0.038 + - Neural network
- 0.038 + - word2vec
- 0.035 + - tfidf
- 0.033 + - Neuron
- 0.026 + - Ulrike von Luxburg
- 0.026 + - Data clustering
- 0.026 + - scikit-learn
- 0.020 + - Ron Meir
- 0.020 + - Rob Schapire
- 0.020 + - Yoav Freund
- 0.017 + - Learning
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- 0.013 + - NLTK
- 0.013 + - Jupyter/notebook
- 0.013 + - IPython notebook
- 0.012 + - Poker
- 0.011 + - Pointwise mutual information
- 0.011 + - Future of work
Negative matches
- 0.033 + - Data analysis
- 0.024 + - Science
- 0.010 + - Interdisciplinary research
- 0.009 + - Lexical feature selection
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- 0.002 + - Probability
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- 0.002 + - Collaborative software
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- 0.001 + - Software engineering in research
- 0.001 + - Kyunghyun Cho
- 0.001 + - Home
- 0.001 + - Sentiment analysis
- 0.001 + - fastText
- 0.001 + - KenLM
- 0.001 + - Word segmentation
- 0.001 + - Latent Dirichlet allocation
- 0.001 + - Dialog act
- 0.001 + - BookNLP
- 0.001 + - Christopher D. Manning