A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Filters
How small are building blocks of complex networks
[article]
2015
arXiv
pre-print
Preserved Fulltext
Other Versions
Network motifs are small building blocks of complex networks. Statistically significant motifs often perform network-specific functions. ...
This finding impacts methods relying on motif statistical significance, and enriches our understanding of the elementary forces that shape the structure of complex networks. ...
INTRODUCTION A promising direction in the study of the structure and function of complex networks is to identify their building blocks, or motifs [1] [2] [3] , which are small subgraphs in a real network ...
arXiv:0908.1143v2
fatcat:oxuz34vqqrayzk7zum4t36lg7y
Integrative systems and synthetic biology of cell-matrix adhesion sites
2016
Cell Adhesion & Migration
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
The complexity of cell-matrix adhesion convolves its roles in the development and functioning of multicellular organisms and their evolutionary tinkering. ...
In this review I discuss some of the fundamental questions in systems biology of cell-matrix adhesion and how synthetic biology can help addressing them. ...
Acknowledgments Dedicated to the memory of Uri Zamir. ...
doi:10.1080/19336918.2016.1148865
pmid:26853318
pmcid:PMC5079407
fatcat:ylrdjjdhtng2xiaakrpvt62vya
Worldwide Detection of Informal Settlements via Topological Analysis of Crowdsourced Digital Maps
2020
ISPRS International Journal of Geo-Information
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
We illustrate how the lack of physical accessibility can be identified in detail, how the complexity and costs of solutions can be assessed and how detailed spatial proposals are generated. ...
We analyze 1 terabyte of OpenStreetMap (OSM) crowdsourced data to create worldwide indices of street block accessibility and local cadastral maps and propose infrastructure extensions with a focus on 120 ...
Birali Runesha of the University of Chicago Research Computing Center (RCC) for technical assistance in parallelization and computation. ...
doi:10.3390/ijgi9110685
fatcat:3tpwayfibvhelk6q7dprer5vnm
Multicast three-stage Clos networks
2010
Computer Communications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
The non-blocking conditions for this network are reported here and discussed. ...
An evaluation is carried out in order to show how the network complexity depends on the main network and traffic parameters, that is the switching matrix sizes and the type of multicast traffic. ...
Acknowledgements The work described in this paper was carried out with the support of the BONE-project (''Building the Future Optical Network in Europe"), a Network of Excellence funded by the European ...
doi:10.1016/j.comcom.2010.01.022
fatcat:cwvt6qpu3jcojjf7wfcje644by
Emerging Principles Governing the Operation of Neural Networks
1989
Annual Review of Neuroscience
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Finding out how neural networks are organized and understanding what com putational principles underlie their operation remain challenges to modern neuroscience. ...
INTRODUCTION A basic tenet of neuroscience is that the ability of the brain to produce complex behaviors such as sensory perception or motor control arises from the interconnection of neurons into networks ...
I am supported by National Institutes of Health grants NS 17328, NS 15350, and HL32336. ...
doi:10.1146/annurev.ne.12.030189.001153
pmid:2648949
fatcat:6yt2irz7tza5fa3lwah2rgye3u
Emerging Principles Governing The Operation Of Neural Networks
1989
Annual Review of Neuroscience
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Finding out how neural networks are organized and understanding what com putational principles underlie their operation remain challenges to modern neuroscience. ...
INTRODUCTION A basic tenet of neuroscience is that the ability of the brain to produce complex behaviors such as sensory perception or motor control arises from the interconnection of neurons into networks ...
I am supported by National Institutes of Health grants NS 17328, NS 15350, and HL32336. ...
doi:10.1146/annurev.neuro.12.1.185
fatcat:6olgptq35jgcxocbfspbnvxdqu
Theorizing benefits and constraints in collaborative environmental governance: a transdisciplinary social-ecological network approach for empirical investigations
2016
Ecology and Society
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
The effectiveness of such arrangements, however, depends on how well any ecological interdependencies across governed ecosystems are aligned with patterns of collaboration. ...
We argue for the development of empirically informed theories, which are not only able to transcend disciplinary boundaries, but are also explicit in taking these complex social-ecological interdependences ...
These SES building blocks only constitute a small subset of all theoretically possible building blocks. ...
doi:10.5751/es-08368-210140
fatcat:7brqckv5o5dr3mfs2v5evnasje
The assembly and disassembly of ecological networks
2009
Philosophical Transactions of the Royal Society of London. Biological Sciences
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
First, we focus on network assembly by emphasizing temporal processes at the species level, as well as the structural building blocks of complex ecological networks. ...
This process of network collapse may indeed be related to the process of network build-up, although very little is known about both processes and even less about their relationship. ...
This work was funded by the European Heads of Research Councils, the European Science Foundation and the EC Sixth Framework Programme through a EURYI (European Young Investigator) award (to J.B.) and a ...
doi:10.1098/rstb.2008.0226
pmid:19451127
pmcid:PMC2685423
fatcat:75g26h7bffbllitfvkcwxvnuyy
IamNN: Iterative and Adaptive Mobile Neural Network for Efficient Image Classification
[article]
2018
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
The resulting network is much smaller than the original network and can adapt the computational cost to the complexity of the input image. ...
The core idea of ResNets is to have shortcut connections between layers that allow the network to be much deeper while still being easy to optimize avoiding vanishing gradients. ...
Figure 2 2 shows how many iterations are used for each block in the ImageNet network. ...
arXiv:1804.10123v1
fatcat:vkls76zzmjar3mfmufnxo53epi
The Build-Up of Diversity in Complex Ecosystems
[article]
2016
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
We base our reasoning on the combinatoric picture that the nodes on one layer of these bipartite networks can be described as combinations of a number of fundamental building blocks. ...
We show that if the usefulness of the building blocks has a scale-free distribution, then maximally entropic baskets of building blocks will give rise to very rich behaviors. ...
What is left to define are the properties of the topology of the bipartite network of building blocks and combinations. ...
arXiv:1609.03617v1
fatcat:zrjgdxzylbhyzlqutbvye4tw2m
Grip on complexity in chemical reaction networks
2017
Beilstein Journal of Organic Chemistry
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
To truly understand how living systems function, we need a complete understanding of how chemical reaction networks (CRNs) create function. ...
Living systems rely on complex networks of chemical reactions to control the concentration of molecules in space and time. ...
Network motifs are dynamic building blocks Network motifs, like bistable switches and oscillators, form the basic building blocks of dynamic behavior. ...
doi:10.3762/bjoc.13.147
pmid:28845192
pmcid:PMC5550812
fatcat:6d23zyutwfdynodydf44jazu6y
Global Resource Distribution: Allocation of Actin Building Blocks by Profilin
2015
Developmental Cell
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Complementary studies from Suarez et al. (2015) and Rotty et al. (2015) now show that profilin controls the partitioning of actin monomers between competing actin networks assembled by Arp2/3 complex and ...
How cells regulate the distribution of a limited pool of actin between two competing structures has long been a mystery. ...
ACKNOWLEDGMENTS This research was supported by a fellowship from the Leukemia and Lymphoma Society to J.L.H-R and a grant from the National Institutes of Health (GM083137) to B.L.G. ...
doi:10.1016/j.devcel.2014.12.022
pmid:25584793
fatcat:rv7m5uff65h2ja6eyk2uhcxpf4
Deep Learning for Multi-Tissue Cancer Classification of Gene Expressions (GeneXNet)
2020
IEEE Access
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
We introduce a new Convolutional Neural Network architecture called Gene eXpression Network (GeneXNet), which is specifically designed to address the complex nature of gene expressions. ...
We demonstrate how our model can be used for transfer learning to build classifiers for tumors lacking sufficient samples to be trained independently. ...
Our network is designed to specifically address the complex nature of gene expressions and addresses the lack of training samples by incorporating multiple layers of building blocks which we refer to as ...
doi:10.1109/access.2020.2992907
fatcat:tn4x7uiprrchvcvj2veylaqaoy
Akid: A Library for Neural Network Research and Production from a Dataism Approach
[article]
2017
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Neural networks are a revolutionary but immature technique that is fast evolving and heavily relies on data. ...
At the top application stack, it provides out-of-box tools for neural network applications. Lower down, akid provides a programming paradigm that lets user easily build customized models. ...
Here we show how to build an arbitrary acyclic graph of blocks using class Brain, to illustrate how to use blocks in akid. ...
arXiv:1701.00609v1
fatcat:zhxcma62ffhxfnacuaw3dwpzcy
Effective Building Block Design for Deep Convolutional Neural Networks using Search
[article]
2018
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Deep learning has shown promising results on many machine learning tasks but DL models are often complex networks with large number of neurons and layers, and recently, complex layer structures known as ...
building blocks. ...
In effect we constrain our search to small networks of repeatable blocks instead of arbitrarily deep networks with unconstrained layer sizes. ...
arXiv:1801.08577v1
fatcat:mtzqyqfyunck5mbwe6l3pyzoau
« Previous
Showing results 1 — 15 out of 400,778 results