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 +Paper/MacKay1991 +Interdisciplinary research +Paper +Sentence embedding +Word embedding -G. Dobínski +Map of science +GloVe -Bibliometrics +Evolution of science +Natural language processing +Web of Science +word2vec +Continuous embedding +CNN -Convolutional neural network"

Positive matches

• 0.059 + - Graph embedding
• 0.059 + - Network geometry
• 0.036 + - Migration
• 0.017 + - Paper/Nielsen2017
• 0.017 + - Probability theory
• 0.016 + - Industry-Academic Partnership
• 0.012 + - Policy
• 0.011 + - Information theory
• 0.009 + - Edwin Thompson Jaynes
• 0.008 + - Hessian matrix
• 0.008 + - Science policy
• 0.008 + - Embedded topic model
• 0.007 + - Topic model
• 0.007 + - Text analysis
• 0.006 + - StanfordNLP
• 0.006 + - Paper/Tshitoyan2019unsupervised
• 0.006 + - NLP
• 0.005 + - Scientific communication
• 0.005 + - Softmax function
• 0.005 + - Biomedical natural language processing

Negative matches

• 0.009 + - Residual leanrning
• 0.004 + - Paper/Gatys2015
• 0.004 + - Deep learning
• 0.002 + - Residual Learning
• 0.002 + - Deep generative models
• 0.001 + - Machine learning
• 0.001 + - Meta learning
• 0.001 + - Neural doodle
• 0.000 + - Archetype
• 0.000 + - Generative adversarial networks
• 0.000 + - Theano
• 0.000 + - Artificial neural network