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 +Migration +Word embedding +Peer review -G. Dobínski +Information theory +Graph embedding +Research advices +Paper/MacKay1991 -Larry Wasserman +Policy +Natural language processing +Probability theory +Edwin Thompson Jaynes +CNN +Residual Learning -Continuous embedding"

Positive matches

• 0.047 + - Convolutional neural network
• 0.027 + - Lexical feature selection
• 0.026 + - Interdisciplinary research
• 0.025 + - Science policy
• 0.024 + - Industry-Academic Partnership
• 0.024 + - Probability
• 0.017 + - Public health policy
• 0.016 + - Sentence embedding
• 0.013 + - Residual leanrning
• 0.013 + - Deep learning
• 0.011 + - Sure Thing hypothesis
• 0.009 + - Paper
• 0.008 + - PyTorch-BigGraph
• 0.008 + - Hessian matrix
• 0.008 + - GraphSAGE
• 0.008 + - Pointwise mutual information
• 0.007 + - Text analysis
• 0.007 + - Scientific publication
• 0.006 + - Jeannette M. Wing
• 0.006 + - Machine learning

Negative matches

• 0.004 + - Topic model
• 0.004 + - Embedded topic model
• 0.002 + - Network geometry
• 0.001 + - wiki2vec
• 0.000 + - word2vec
• 0.000 + - Softmax function
• 0.000 + - Paper/Levy2014
• 0.000 + - Skip-gram
• 0.000 + - sense2vec
• 0.000 + - WordRank
• 0.000 + - LDA
• 0.000 + - Attention
• 0.000 + - tfidf
• 0.000 + - Gender bias