Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Peter Ronhovde"'
Publikováno v:
Journal of Complex Networks. 3(3):333-360
We derive rigorous bounds for well-defined community structure in complex networks for a stochastic block model (SBM) benchmark. In particular, we analyze the effect of inter-community "noise" (inter-community edges) on any "community detection" algo
Autor:
Zohar Nussinov, J. Scher-Zagier, Tahereh Mazaheri, Bo Sun, Turab Lookman, Rohan Mishra, D. Magee, Arashdeep Singh Thind, Peter Ronhovde
A machine learning approach that we term the `Stochastic Replica Voting Machine' (SRVM) algorithm is presented and applied to a binary and a 3-class classification problems in materials science. Here, we employ SRVM to predict candidate compounds cap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ca471b812e874814831aae6731b405bb
Publikováno v:
Journal of Microscopy. 253:54-64
Inspired by a multi-resolution community detection (MCD) based network segmentation method, we suggest an automatic method for segmenting fluorescence lifetime (FLT) imaging microscopy (FLIM) images of cells in a first pilot investigation on two sele
Publikováno v:
2016 SAI Computing Conference (SAI).
We present a physics inspired heuristic method for solving combinatorial optimization problems. Our approach is specifically motivated by the desire to avoid trapping in metastable local minima- a common occurrence in hard problems with multiple extr
Autor:
Peter Ronhovde, Rudy Sirochman
Publikováno v:
American Journal of Physics. 71:185-188
In this undergraduate laboratory experiment we measure the centripetal force acting on a bob in uniform circular motion. As the experiment was originally designed, it consistently yielded large errors due to a subtle twist of the bob as the mass was
Publikováno v:
SPIE Proceedings.
Multiresolution community detection (CD) method has been suggested in a recent work as an efficient method for performing unsupervised segmentation of fluorescence lifetime (FLT) images of live cell images containing fluorescent molecular probes.1 In
Autor:
Peter Ronhovde, Zohar Nussinov
Community detection algorithms attempt to find the best clusters of nodes in an arbitrary complex network. Multi-scale ("multiresolution") community detection extends the problem to identify the best network scale(s) for these clusters. The latter ta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9dd429bc81178fefc1f3071fac5b0cd7
http://arxiv.org/abs/1208.5052
http://arxiv.org/abs/1208.5052
We examine phase transitions between the easy, hard, and the unsolvable phases when attempting to identify structure in large complex networks (community detection) in the presence of disorder induced by network noise (spurious links that obscure str
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4e94c3a40f725ba9b436b8c50582cd98
Autor:
Dandan Hu, M. Sahu, N. A. Mauro, Kisor K. Sahu, Kenneth F. Kelton, Saurish Chakrabarty, Peter Ronhovde, Zohar Nussinov
Publikováno v:
Scientific Reports
Scientific Reports, 2
Scientific Reports, 2
Recent decades have experienced the discovery of numerous complex materials. At the root of the complexity underlying many of these materials lies a large number of contending atomic- and largerscale configurations. In order to obtain a more detailed
Autor:
Kenneth F. Kelton, M. Sahu, Kisor K. Sahu, Dandan Hu, Saurish Chakrabarty, N. A. Mauro, Peter Ronhovde, Zohar Nussinov
Publikováno v:
The European physical journal. E, Soft matter. 34(9)
We elaborate on a general method that we recently introduced for characterizing the "natural" structures in complex physical systems via multi-scale network analysis. The method is based on "community detection" wherein interacting particles are part