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...ws |last=Schmidhuber |first=Jürgen |date=2021 |title=The most cited neural networks all build on work done in my labs |url=https://people.idsia.ch/~juergen/mos ...ion flow, inspired by [[long short-term memory]] (LSTM) [[recurrent neural networks]].<ref name="lstm1997">{{Cite journal ...

...escription|THE LOTTERY TICKET HYPOTHESIS: FINDING SPARSE, TRAINABLE NEURAL NETWORKS}} ...han |title=The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks |date=2019-03-04 |eprint=1803.03635 |last2=Carbin |first2=Michael|class=cs. ...

{{Short description|Analysis and representation of complex networks}} ...aph from a [[Graph (discrete mathematics)|graph]] ([[network (mathematics)|networks]]). ...

...ame=":3">{{Cite web|title=New ideas to control power flows in distribution networks (NRP 70) - NFP [Nr.]|url=http://www.nfp70.ch/en/News/Pages/160406-news-nfp7 ...s a piece of [[software]] that is running on an [[Embedded system|embedded computer]] attached somewhere in the grid. It monitors the state of the grid through ...

{{Short description|Phenomenon observed in the study of Artificial Neural Networks}} ...ks|deep neural networks (DNNs)]]. It describes the tendency of deep neural networks to fit target functions from low to high frequencies during the training pr ...

{{Short description|Notion in network science of quantum information networks}} ...N.|last2=Mendes|first2=J.F.F.|title=Evolution of Networks: From biological networks to the Internet and WWW|date=2003|publisher=[[Oxford University Press]]|isb ...

...st3=P.|last4=Schultes|first4=D.|date=2007-04-27|title=Fast Routing in Road Networks with Transit Nodes|journal=Science|volume=316|issue=5824|pages=566|doi=10.1 ...2845-0_6|title=Experimental Algorithms|volume=4525|series=Lecture Notes in Computer Science|year=2007}}</ref> ...

...which are parameterized by modern deep [[Artificial neural network|neural networks]]. ...The EBM is the only object that needs to be designed and trained. Separate networks need not be trained to ensure balance. ...

...vett|last2=Shachar|title=2010 IEEE 51st Annual Symposium on Foundations of Computer Science |chapter=A Lower Bound for Dynamic Approximate Membership Data Stru ...ournal |last1=Graf|last2=Lemire|title=Xor Filters |journal= ACM Journal of Experimental Algorithmics|year= 2020|volume= 25|pages= 1–16|doi= 10.1145/3376122|arxiv=1 ...

...s in network theory, including problems related to social [[network theory|networks]], biology, transport and scientific cooperation. Although earlier authors == The load distribution in real and model networks == ...

...-49486-9|s2cid=14384915}}</ref> This is based on the observation that road networks are highly hierarchical. Some intersections, for example highway junctions, ...10.1007/978-3-642-02094-0_7|isbn=978-3-642-02093-3|series=Lecture Notes in Computer Science}}</ref> Implementations of the algorithm are publicly available as ...

...1=S.S.|last2=Varlamov|first2=O.O.|last3=Ivanov|first3=A.M.|date=2017|title=Experimental Autonomous Road Vehicle with Logical Artificial Intelligence|journal=Journa Mivar networks allow us to develop cause-effect dependencies (“If-then”) and create an aut ...

| fields = [[Mathematics]] [[Computer Science]] [[Cryptography]] ...Cite web|url=https://www.cs.qc.cuny.edu/kahrobaei.html|title=Department of Computer Science, Queens College, CUNY|website=www.cs.qc.cuny.edu|access-date=2024-0 ...

...eeking the extremum |doi=10.1007/3-540-07165-2_55 |series=Lecture Notes in Computer Science |date=1975 |volume=27 |pages=400–404 |isbn=978-3-540-07165-5 |doi-a ...e 76, Issue 1, pp 5-23 (2016) DOI:10.1007/s10472-015-9463-9</ref> [[sensor networks]],<ref>Niranjan Srinivas, Andreas Krause, Sham M. Kakade, Matthias W. Seege ...

...classical [[combinatorial optimization]] problem studied in [[theoretical computer science]] that is [[NP-hardness|NP-hard]]. Given {{mvar|n}} cities with spe | title = Theoretical Computer Science ...

...com/books?id=D4j2AwAAQBAJ |title=Neuronal Dynamics: From Single Neurons to Networks and Models of Cognition |last2=Kistler |first2=Werner M. |last3=Naud |first ...century development propelled the dynamical study of neurons even further: computer technology. The largest issue with physiological equations like the ones de ...

...r with the aid of computer programs.<ref name = Szentirmai>Szentirmai G., "Computer-Aided Design Methods in Filter Design: S/FILSYN and Other Packages", Chapte ...Zobel<ref name = Zobel /> and later by Bode<ref name = Bode1 /> that such networks can be cascaded with each other and with a transmission line or with a lump ...

...sics-informed nerural networks.png|thumb|upright=3|Physics-informed neural networks for solving Navier–Stokes equations|307x307px]] ...mitz |first3=G.J. |last4=Apel |first4=M.|title=Theory-training deep neural networks for an alloy solidification benchmark problem |journal=Computational Materi ...

...J.|year=1973|title=The control of flux|journal=Symposia of the Society for Experimental Biology|volume=27|pages=65–104|pmid=4148886 }}</ref> in Edinburgh and Heinr ...operties of different feedback and other regulatory structures in cellular networks. The power-law expansions used in the analysis invoke coefficients called k ...

...s O. "Nonlinear System Identification: From Classical Approaches to Neural Networks". Springer Verlag, 2001</ref><ref name="SAB1">Billings S.A. "Nonlinear Syst ...-3-642-32572-4|pages = 269–274|series = Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering|doi = 10.10 ...