Results 61 to 70 of about 4,498,304 (271)

Correction: Exponential random graph model parameter estimation for very large directed networks.

PLoS ONE, 2020
[This corrects the article DOI: 10.1371/journal.pone.0227804.].
PLOS ONE Staff
doaj   +1 more source

Parameter and State Estimation of Large-Scale Complex Systems Using Python Tools [PDF]

Modeling, Identification and Control, 2015
This paper discusses the topics related to automating parameter, disturbance and state estimation analysis of large-scale complex nonlinear dynamic systems using free programming tools.
M. Anushka S. Perera, Tor A. Hauge, Carlos F. Pfeiffer   +2 more
doaj   +1 more source

A parameter-free hedging algorithm [PDF]

, 2009
We study the problem of decision-theoretic online learning (DTOL). Motivated by practical applications, we focus on DTOL when the number of actions is very large.
Chaudhuri, Kamalika, Freund, Yoav, Hsu, Daniel   +2 more
core   +3 more sources

Elementary excitations of trapped Bose gas in the large-gas-parameter regime

, 2002
We study the effect of going beyond the Gross-Pitaevskii theory on the frequencies of collective oscillations of a trapped Bose gas in the large gas parameter regime.
A. Banerjee, A. Fabrocini, A. Fabrocini, A.L. Fetter, Arup Banerjee, B.D. Esry, C.C. Bradley, C.C. Bradley, D.A.W. Hutchinson, D.M. Stamper-Kurn, D.S. Jin, E. Braaten, E. Braaten, E. Lipparini, E. Timmermans, E.P. Gross, E.P. Gross, F. Dalfovo, F. Dalfovo, G. Baym, G.S. Nunes, K.B. Davis, K.G. Singh, L. Pitaevskii, L. You, L.P. Pitaevskii, M. Edwards, M. Edwards, M.H. Anderson, M.P. Singh, Manoranjan P. Singh, N.N. Bogoliubov, O. Bohigas, P. Hohenberg, S. Giorgini, S. Sinha, S. Stringari, S.L. Cornish, T. Kimura, T.D. Lee, T.T. Wu   +40 more
core   +1 more source

By dawn or dusk—how circadian timing rewrites bacterial infection outcomes

FEBS Letters, EarlyView.
The circadian clock shapes immune function, yet its influence on infection outcomes is only beginning to be understood. This review highlights how circadian timing alters host responses to the bacterial pathogens Salmonella enterica, Listeria monocytogenes, and Streptococcus pneumoniae revealing that the effectiveness of immune defense depends not only
Devons Mo, Catherine S. Palmer, Jacqueline M. Kimmey   +2 more
wiley   +1 more source

A Hybrid and Parameter-Free Clustering Algorithm for Large Data Sets

IEEE Access, 2019
As an important unsupervised learning method, clustering can find the hidden structures in data effectively. With the amount of data grows larger, clustering of large data sets is a challenging task. Many clustering algorithms have been developed to deal
Hengkang Shao, Ping Zhang, Xinye Chen, Fang Li, Guanglong Du   +4 more
doaj   +1 more source

Structural insights into lacto‐N‐biose I recognition by a family 32 carbohydrate‐binding module from Bifidobacterium bifidum

FEBS Letters, EarlyView.
Bifidobacterium bifidum establishes symbiosis with infants by metabolizing lacto‐N‐biose I (LNB) from human milk oligosaccharides (HMOs). The extracellular multidomain enzyme LnbB drives this process, releasing LNB via its catalytic glycoside hydrolase family 20 (GH20) lacto‐N‐biosidase domain.
Xinzhe Zhang, Naoki Sunagawa, Toma Kashima, Kiyohiko Igarashi, Akimasa Miyanaga, Shinya Fushinobu   +5 more
wiley   +1 more source

Private Stochastic Optimization with Large Worst-Case Lipschitz Parameter

The Journal of Privacy and Confidentiality
We study differentially private (DP) stochastic optimization (SO) with loss functions whose worst-case Lipschitz parameter over all data points may be huge or infinite.
Andrew Lowy, Meisam Razaviyayn
doaj   +1 more source

New Constraints from High Redshift Supernovae and Lensing Statistics upon Scalar Field Cosmologies

, 2000
We explore the implications of gravitationally lensed QSOs and high-redshift SNe Ia observations for spatially flat cosmological models in which a classically evolving scalar field currently dominates the energy density of the Universe.
A. Albrecht, A. G. Riess, A. G. Riess, A. Liddle, A. Masiero, A. O. Jaunsen, A. R. Cooray, A. R. Cooray, A. Vilenkin, B. Ratra, B. Ratra, C. Kolda, C. S. Kochanek, C. S. Kochanek, C. S. Kochanek, C. Wetterich, D. Crampton, D. Huterer, D. Maoz, D. N. Spergel, E. E. Falco, E. E. Falco, E. L. Turner, H. A. Feldman, H. K. C. Yee, H. Martel, I. Waga, I. Waga, I. Zehavi, I. Zlatev, Ioav Waga, J. A. Frieman, J. A. Frieman, J. A. Frieman, J. C. Carvalho, J. Frieman, J. Loveday, J. M. Overduin, J. N. Fry, J. Stelmach, J. Surdej, J. Uzan, Joshua A. Frieman, K. Coble, K. Freese, L. Amendola, L. F. Bloomfield Torres, L. M. A. Bittencourt, L. Wang, M. Bucher, M. Kamionkowski, M. Ozer, M. Reuter, M. S. Turner, M. S. Turner, M. White, N. A. Bahcall, P. Binétruy, P. Ferreira, P. Ferreira, P. J. E. Peebles, P. J. E. Peebles, P. J. Steinhardt, P. M. Garnavich, P. Schechter, P. T. P. Viana, R. R. Caldwell, S. Dodelson, S. M. Carroll, S. M. Carroll, S. M. Faber, S. Perlmutter, S. Perlmutter, S. Podariu, S. Weinberg, T. Chiba, V. Sahni, V. Silveira, V. Silveira, W. Chen, W. Hu, Y. B. Zeldovich   +81 more
core   +1 more source

Sample Path Large Deviations and Convergence Parameters

The Annals of Applied Probability, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +3 more sources