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 +Graph embedding -Deep learning"

Positive matches

• 0.038 + - Interdisciplinary research
• 0.023 + - Migration
• 0.023 + - Probability theory
• 0.022 + - Industry-Academic Partnership
• 0.019 + - Network geometry
• 0.016 + - Information theory
• 0.016 + - Policy
• 0.015 + - Paper/MacKay1991
• 0.014 + - How to study
• 0.014 + - Continuous embedding
• 0.013 + - Sentence embedding
• 0.011 + - GraphSAGE
• 0.011 + - Michael Ramscar
• 0.011 + - PyTorch-BigGraph
• 0.010 + - Machine learning
• 0.010 + - Jeannette M. Wing
• 0.009 + - Word embedding
• 0.008 + - Aaron Clauset
• 0.008 + - Larry Wasserman
• 0.008 + - Science policy

Negative matches

• 0.013 + - Language
• 0.004 + - Attention
• 0.003 + - Modeling animal behaviors with reinforcement learning
• 0.002 + - Amazon EC2
• 0.002 + - Q-learning
• 0.002 + - CNN
• 0.002 + - Residual leanrning
• 0.002 + - Archetype
• 0.001 + - Paper/Hochreiter1997
• 0.001 + - Machine translation
• 0.001 + - Deep generative models
• 0.001 + - Geoffrey Hinton
• 0.001 + - Beer
• 0.001 + - Deep learning and graphs
• 0.001 + - Theano
• 0.001 + - Artificial neural network
• 0.001 + - Keras
• 0.001 + - Meta learning
• 0.001 + - Amazon Elastic Compute Cloud
• 0.001 + - Long short-term memory