Search "+Home -Bookshelf +Funny things +Alan Moore +YY +Sociology -Donald Knuth +Probability Theory: The Logic of Science +Math +David MacKay +Science of science +Science +Scientometrics +Books +Peer review -Bertrand Meyer +G. Dobínski +Research advices +Learning +Programming interview +Information theory +Science policy +Machine learning +Information Theory, Inference, and Learning Algorithms +Research funding +Policy +Industry-Academic Partnership +Class imbalance problem -Michael Ramscar -Deep learning"

Positive matches

• 0.047 + - Interdisciplinary research
• 0.034 + - Class imbalance
• 0.024 + - Lexical feature selection
• 0.017 + - Public health policy
• 0.017 + - Probability theory
• 0.015 + - Migration
• 0.011 + - Paper/MacKay1991
• 0.010 + - Graph embedding
• 0.009 + - How to study
• 0.008 + - Sentence embedding
• 0.007 + - Collaborative software
• 0.007 + - Jeannette M. Wing
• 0.006 + - Scientific publication
• 0.006 + - Larry Wasserman
• 0.006 + - Aaron Clauset
• 0.006 + - Software engineering in research
• 0.005 + - Scientific communication
• 0.005 + - Cross entropy
• 0.005 + - David Feldman
• 0.005 + - Word embedding

Negative matches

• 0.012 + - Language
• 0.003 + - Residual leanrning
• 0.003 + - Archetype
• 0.002 + - Amazon EC2
• 0.001 + - Q-learning
• 0.001 + - Attention
• 0.001 + - Deep generative models
• 0.001 + - Beer
• 0.001 + - Neural doodle
• 0.001 + - Yann LeCun
• 0.001 + - Quoc Le
• 0.001 + - Meta learning
• 0.001 + - Amazon Elastic Compute Cloud
• 0.001 + - Sentiment analysis
• 0.001 + - Long short-term memory
• 0.001 + - Generative adversarial networks
• 0.001 + - Geoffrey Hinton
• 0.001 + - Dropout
• 0.001 + - Recurrent neural network
• 0.001 + - TensorFlow