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 -Poker +tfidf +Gradient descent -Lexical feature selection"
Pages related to:
- Peter Norvig
- Automated machine learning
- Class imbalance problem
- Travelling salesman problem
- Cross validation
- Cluster analysis
- Computer science
- Class imbalance
- scikit-learn
- tfidf
- Gradient descent
but not related to:
Positive matches
- 0.247 + - Machine learning
- 0.060 + - tf-idf
- 0.034 + - Neural network
- 0.033 + - Neuron
- 0.024 + - Decision tree
- 0.022 + - Data clustering
- 0.020 + - Recommender system
- 0.016 + - Random forest
- 0.012 + - skorch
- 0.011 + - Python/Modules
- 0.011 + - Python
- 0.011 + - IPython notebook
- 0.010 + - Boosting (machine learning)
- 0.010 + - Tim Hopper
- 0.010 + - Jupyter/notebook
- 0.010 + - Bookshelf
- 0.010 + - Deep learning
- 0.009 + - Future of work
- 0.008 + - Interdisciplinary research
- 0.007 + - Learning
Negative matches
- 0.023 + - Data analysis
- 0.015 + - Pointwise mutual information
- 0.014 + - Text analysis
- 0.012 + - Natural language processing
- 0.005 + - Biomedical natural language processing
- 0.004 + - NLP
- 0.003 + - StanfordNLP
- 0.003 + - CNN
- 0.002 + - Convolutional neural network
- 0.001 + - String metric
- 0.001 + - scispaCy
- 0.001 + - KenLM
- 0.001 + - Latent Dirichlet allocation
- 0.001 + - KoNLPy
- 0.001 + - fastText
- 0.001 + - Sentiment analysis
- 0.001 + - David MacKay
- 0.001 + - David Feldman
- 0.001 + - Information Theory, Inference, and Learning Algorithms
- 0.001 + - spaCy