Zobrazeno 1 - 10
of 92
pro vyhledávání: '"David F. Gleich"'
Publikováno v:
Nature Communications, Vol 9, Iss 1, Pp 1-10 (2018)
Functional characterisation of single cells is crucial for uncovering the true extent of cellular heterogeneity. Here the authors offer an approach to infer functional identities of cells from their transcriptomes, identify their dominant function, a
Externí odkaz:
https://doaj.org/article/1f15abdf60fc40a6b3faeb20563a711f
Autor:
Landon R. Jones, Robert K. Swihart, David F. Gleich, Geriann Albers, Scott A. Johnson, Cassie M. Hudson, Patrick A. Zollner
Publikováno v:
Landscape Ecology. 37:2383-2397
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d3a04e3efee80a4be09789acfb0c9d26
https://doi.org/10.1007/s10980-022-01460-6
https://doi.org/10.1007/s10980-022-01460-6
Publikováno v:
Proceedings of the International AAAI Conference on Web and Social Media. 16:1208-1217
A collection of over 3000 pages of emails sent by Anthony Fauci and his staff were released in an effort to understand the United States government response to the COVID-19 pandemic. In this paper, we describe how the original PDF document of emails
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::03a4f4ed1830b0b45bfd6eb9a5137ef6
https://doi.org/10.1609/icwsm.v16i1.19371
https://doi.org/10.1609/icwsm.v16i1.19371
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. :1-13
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e42c6f08f56e7cc5caac1d17ad9ba470
https://doi.org/10.1109/tkde.2022.3206823
https://doi.org/10.1109/tkde.2022.3206823
Publikováno v:
ACM Transactions on Parallel Computing. 8:1-19
As parallel and distributed systems scale, fault tolerance is an increasingly important problem—particularly on systems with limited I/O capacity and bandwidth. Erasure coded computations address this problem by augmenting a given problem instance
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14c9187460bda21ce8eb26c553737794
https://doi.org/10.1145/3490557
https://doi.org/10.1145/3490557
Publikováno v:
SIAM Journal on Scientific Computing. 43:S592-S611
Multiple network alignment is the problem of identifying similar and related regions in a given set of networks. While there are a large number of effective techniques for pairwise problems with tw...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ebe3856f88a8fdd410c7abd0b0cdff8c
https://doi.org/10.1137/20m1345876
https://doi.org/10.1137/20m1345876
Autor:
David F. Gleich, Austin R. Benson
Publikováno v:
SIAM Journal on Matrix Analysis and Applications. 40:1311-1324
We present a new framework for computing Z-eigenvectors of general tensors based on numerically integrating a dynamical system that can only converge to a Z-eigenvector. Our motivation comes from our recent research on spacey random walks, where the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dacbdc5d88ace1ce3ae9cfc4d4a71b63
https://doi.org/10.1137/18m1229584
https://doi.org/10.1137/18m1229584
Autor:
David F. Gleich, Tao Wu
Publikováno v:
SIAM Journal on Scientific Computing. 41:A3449-A3475
We study a novel variation on the Ulam--von Neumann Monte Carlo method for solving a linear system. This is an old randomized procedure that results from using a random walk to stochastically evalu...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::12cade3fd5643f453270bf6a8e7be3a9
https://doi.org/10.1137/18m121527x
https://doi.org/10.1137/18m121527x
Autor:
Anthony Bonato, David F Gleich, Myunghwan Kim, Dieter Mitsche, Paweł Prałat, Yanhua Tian, Stephen J Young
Publikováno v:
PLoS ONE, Vol 9, Iss 9, p e106052 (2014)
We consider the dimensionality of social networks, and develop experiments aimed at predicting that dimension. We find that a social network model with nodes and links sampled from an m-dimensional metric space with power-law distributed influence re
Externí odkaz:
https://doaj.org/article/70bfd02589274db2b10f090816242f0e
Publikováno v:
WWW
Hypergraph-based machine learning methods are now widely recognized as important for modeling and using higher-order and multiway relationships between data objects. Local hypergraph clustering and semi-supervised learning specifically involve findin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::32142729c7dc72d33ae5fab0b536c800
http://arxiv.org/abs/2011.07752
http://arxiv.org/abs/2011.07752
