Search "+Reinforcement learning +Meta learning +Machine learning -Class imbalance problem -tf-idf"

Positive matches

• 0.110 + - Deep learning
• 0.091 + - Evolution strategy
• 0.077 + - Q-learning
• 0.075 + - Modeling animal behaviors with reinforcement learning
• 0.040 + - David Silver
• 0.010 + - Regex
• 0.010 + - Thermostat
• 0.010 + - Andrew Ng
• 0.010 + - Keras
• 0.010 + - TensorFlow
• 0.008 + - Autoencoder
• 0.007 + - Jürgen Schmidhuber
• 0.007 + - Geoffrey Hinton
• 0.007 + - Marc'Aurelio Ranzato
• 0.007 + - Brain and deep learning
• 0.007 + - GraphLab
• 0.007 + - Residual Learning
• 0.007 + - Javascript
• 0.006 + - Convolutional neural network
• 0.006 + - Quoc Le

Negative matches

• 0.195 + - Class imbalance
• 0.077 + - Text analysis
• 0.054 + - Pointwise mutual information
• 0.040 + - Lexical feature selection
• 0.040 + - NLTK
• 0.040 + - Gensim
• 0.040 + - tfidf
• 0.035 + - scikit-learn
• 0.005 + - Natural language processing
• 0.005 + - Data analysis
• 0.004 + - word2vec
• 0.004 + - Python
• 0.003 + - Gilles Louppe
• 0.003 + - Random forest
• 0.002 + - Tim Hopper
• 0.002 + - NLP
• 0.002 + - David Goodger
• 0.002 + - GloVe
• 0.002 + - Paper/Levy2014a
• 0.002 + - sense2vec