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 +Policy +Author name disambiguation +G. Dobínski +Peer review +Graph embedding +Scientific publication +Probability theory +Word embedding +Continuous embedding +Network geometry -Larry Wasserman +PyTorch-BigGraph +GloVe +Science policy +Sentence embedding -word2vec"

Positive matches

• 0.042 + - Interdisciplinary research
• 0.027 + - Industry-Academic Partnership
• 0.026 + - Natural language processing
• 0.026 + - Migration
• 0.017 + - Public health policy
• 0.017 + - PyTorch
• 0.017 + - Citation
• 0.013 + - Research funding
• 0.011 + - Literary allusions in science
• 0.011 + - Paper/MacKay1991
• 0.011 + - Information theory
• 0.009 + - GraphSAGE
• 0.009 + - Embedded topic model
• 0.008 + - Research advices
• 0.007 + - Topic model
• 0.007 + - Bertrand Meyer
• 0.007 + - Jeannette M. Wing
• 0.006 + - Paper/Tshitoyan2019unsupervised
• 0.006 + - Collaborative software
• 0.006 + - NLP

Negative matches

• 0.004 + - Softmax function
• 0.003 + - tf-idf
• 0.002 + - Sentiment analysis
• 0.001 + - Machine learning
• 0.001 + - Paper/Hamilton2016
• 0.001 + - Deep learning
• 0.001 + - sense2vec
• 0.001 + - Skip-gram
• 0.001 + - Clinical concept embedding
• 0.001 + - Ilya Sutskever
• 0.001 + - Chris McCormick
• 0.001 + - Archetype
• 0.001 + - TensorFlow
• 0.001 + - Gender bias
• 0.001 + - Cecilia Mascolo
• 0.001 + - Neural network
• 0.001 + - Finkbeiner test
• 0.001 + - Softmax
• 0.001 + - Tomas Mikolov
• 0.000 + - Paper/Levy2014a