Top results
8/7/2019 analysis of user keyword similarity in online social networks 1/16o r i g i n a l a r t i c l eanalysis of user keyword similarity in online social networksprantik…
query expansion matching similarity for keyword-based clustering mohammad rezaei, pasi fränti [email protected] speech and image processing unit university of eastern finland…
microsoft word - llc article 2004 - sc keywords.docusing an abridged wordnet noun taxonomy. chris powell abstract we present a novel method of abridging the wordnet noun
transactions on data privacy 9 2016 131–159 secure multi-keyword similarity search over encrypted cloud data supporting efficient multi-user setup mikhail strizhov∗,…
transactions on data privacy 9 (2016) 131–159 secure multi-keyword similarity search over encrypted cloud data supporting efficient multi-user setup mikhail strizhov∗,…
journal of machine learning research 2012 - submitted 612 published dimension independent similarity computation reza bosagh zadeh rezab@stanfordedu institute for computational…
quantnet basics: visualization, similarity, text mining lukas borke wolfgang karl härdle ladislaus von bortkiewicz chair of statistics c.a.s.e. – center for applied statistics…
popularity versus similarity in growing networks fragiskos papadopoulos cyprus university of technology m. kitsak, m. Á. serrano, m. boguñá, and dmitri krioukov caida/ucsd…
r esearch article measuring community similarity with phylogenetic networks donovan h. parks* and robert g. beiko faculty of computer science, dalhousie university, halifax,…
node similarity preserving graph convolutional networksmichigan state university in various real-world applications due to their strong ability in graph representation learning.
building biochemical + chemical similarity networks dmitry grapov, phd 040413 the ingredients 1. • 2. list of chemical identifiers preferably - pubchem compound identifiers…
finding self-similarity in opportunistic people networks ling-jyh chen1, yung-chih chen1, tony sun2 paruvelli sreedevi1, kuan-ta chen1 chen-hung yu3, hao-hua chu3 1academia…
finding self-similarity in people opportunistic networks ling-jyh chen, yung-chih chen, paruvelli sreedevi, kuan-ta chen chen-hung yu, hao chu motivation fundamental properties…
learning text similarity with siamese recurrent networksproceedings of the 1st workshop on representation learning for nlp, pages 148–157, berlin, germany, august 11th,
construction of disease similarity networks using concept embedding and ontologyconstruction of disease similarity networks using concept embedding and ontology duo (helen)
convolutional neural networks for small-footprint keyword spotting tara n. sainath, carolina parada google, inc. new york, ny, u.s.a {tsainath, carolinap}@google.com abstract…
convolutional neural networks for small-footprint keyword spotting tara n. sainath, carolina parada google, inc. new york, ny, u.s.a {tsainath, carolinap}@google.com abstract…
fractality vs self-similarity in scale-free networks the 2nd kias conference on stat. phys., 07/03-06/06 jin s. kim, k.-i. goh, g. salvi, e. oh and d. kim b. kahng seoul…
conditional similarity networks andreas veit1 serge belongie1 theofanis karaletsos23 {av443 sjb344}@cornelledu theofaniskaraletsos@gmailcom 1 department of computer science…
similarity based document keyword extraction using an abridged wordnet noun taxonomy chris powell oxford brookes university abstract we present a novel method of abridging…