Now showing items 128-147 of 1815

  • Bayesian detection of planetary transits. A modified version of the Gregory-Loredo method for Bayesian periodic signal detection 

    Aigrain, Suzanne; Favata, F. (EDP Sciences, 2002)
    The detection of planetary transits in stellar photometric light-curves is poised to become the main method for finding substantial numbers of terrestrial planets. The French-European mission COROT (foreseen for launch in ...
  • Bayesian estimation and classification with incomplete data using mixture models 

    Zhang, Jufen; Everson, Richard M. (IEEE, 2004)
    Reasoning from data in practical problems is frequently hampered by missing observations. Mixture models provide a powerful general semi-parametric method for modelling densities and have close links to radial basis function ...
  • A Bayesian Framework for Active Learning 

    Fredlund, Richard; Everson, Richard M.; Fieldsend, Jonathan E. (Institute of Electrical and Electronics Engineers (IEEE), 2010)
    We describe a Bayesian framework for active learning for non-separable data, which incorporates a query density to explicitly model how new data is to be sampled. The model makes no assumption of independence between queried ...
  • A Bayesian framework for verification and recalibration of ensemble forecasts: How uncertain is NAO predictability? 

    Siegert, Stefan; Stephenson, David B.; Sansom, Philip G.; Scaife, Adam A.; Eade, Rosie; Arribas, Alberto (arXiv.org, 2015-04-08)
    Predictability estimates of ensemble prediction systems are uncertain due to limited numbers of past forecasts and observations. To account for such uncertainty, this paper proposes a Bayesian inferential framework that ...
  • Bayesian inductively learned modules for safety critical systems 

    Fieldsend, Jonathan E.; Bailey, Trevor C.; Everson, Richard M.; Krzanowski, Wojtek J.; Partridge, Derek; Schetinin, Vitaly (Interface Foundation of North America, Inc., 2003)
    This work examines the use of Bayesian inductively learned software modules for safety critical systems. Central to the safety critical application is the desire to generate confidence measures associated with predictions. ...
  • A Bayesian Methodology for Estimating Uncertainty of Decisions in Safety-Critical Systems 

    Schetinin, Vitaly; Fieldsend, Jonathan E.; Partridge, Derek; Krzanowski, Wojtek J.; Bailey, Trevor C.; Everson, Richard M.; Hernandez, Adolfo (IOS Press, 2006)
  • Bayesian unsupervised learning with multiple data types 

    Agius, Phaedra; Ying, Yiming; Campbell, Colin (Walter de Gruyter, 2009)
    We propose Bayesian generative models for unsupervised learning with two types of data and an assumed dependency of one type of data on the other. We consider two algorithmic ap- proaches, based on a correspondence model ...
  • Benchmarking energy consumption and CO2 emissions from rainwater harvesting systems: an improved method by proxy 

    Ward, Sarah; Butler, David; Memon, Fayyaz (IWA (International Water Association), 2010)
    Life cycle analyses (LCAs) show the main operational energy contribution for rainwater-harvesting (RWH) systems come from ultraviolet (UV) disinfection and pumping rainwater from tank to building. Simple methods of estimating ...
  • The Benefits of Laser Scanning & 3D Modelling in Accident Investigation: In a Mining Context 

    Foster, P.J.; Jobling-Purser, J; Coggan, John; Eyre, Matthew (Maney on behalf of the Institute and The AusIMM, 2015-06-16)
    Accurate reconstruction of the facts and causes surrounding accidents is critical if the mining industry is to learn from incidents and prevent future events. Effective accident investigation and training are essential ...
  • A bias-corrected decomposition of the Brier score 

    Ferro, Christopher A.T.; Fricker, T.E. (Royal Meteorological Society, 2012)
    The Brier score is a widely used measure of performance for probabilistic forecasts of event occurrences and is often decomposed additively into three terms that quantify the reliability and resolution of the forecasts and ...
  • Biclustering models for structured microarray data 

    Turner, Heather L.; Bailey, Trevor C.; Krzanowski, Wojtek J.; Hemingway, Cheryl A. (IEEE, 2005)
    Microarrays have become a standard tool for investigating gene function and more complex microarray experiments are increasingly being conducted. For example, an experiment may involve samples from several groups or may ...
  • Bidirectional transport and pulsing states in a multi-lane ASEP model 

    Lin, Congping; Steinberg, Gero; Ashwin, Peter (IOP Publishing, 2011)
    In this paper, we introduce an ASEP-like transport model for bidirectional motion of particles on a multi-lane lattice. The model is motivated by {\em in vivo} experiments on organelle motility along a microtubule (MT), ...
  • Bifurcation analysis of delay-induced resonances of the El-Niño Southern Oscillation. 

    Krauskopf, Bernd; Sieber, J. (Royal Society, 2014)
    Models of global climate phenomena of low to intermediate complexity are very useful for providing an understanding at a conceptual level. An important aspect of such models is the presence of a number of feedback loops ...
  • Bifurcation to heteroclinic cycles and sensitivity in three and four coupled phase oscillators 

    Ashwin, Peter; Burylko, Oleksandr; Maistrenko, Yuri (Elsevier, 2008)
    We study the bifurcation and dynamical behaviour of the system of N globally coupled identical phase oscillators introduced by Hansel, Mato and Meunier, in the cases N=3 and N=4. This model has been found to exhibit robust ...
  • Bio-inspired iridescent layer-by-layer assembled cellulose nanocrystal Bragg stacks 

    Tzeng, P.; Hewson, D.J.; Vukusic, Peter; Eichhorn, Stephen J.; Grunlan, J.C. (Royal Society of Chemistry, 2015)
    Layer-by-layer (LbL) assembly was used to fabricate a synthetic analogue of the color producing multilayered structure commonly found in many biological systems, particularly Coleoptera. The resulting iridescent films ...
  • Bioavailability of nanoscale metal oxides TiO(2), CeO(2), and ZnO to fish 

    Johnston, B.D.; Scown, Tessa M.; Moger, Julian; Cumberland, Susan A.; Baalousha, Mohamed; Linge, Kathryn; van Aerle, Ronny; Jarvis, Kym; Lead, Jamie R.; Tyler, Charles R. (American Chemical Society, 2010-02-01)
    Nanoparticles (NPs) are reported to be a potential environmental health hazard. For organisms living in the aquatic environment, there is uncertainty on exposure because of a lack of understanding and data regarding the ...
  • Bistability in feedback circuits as a byproduct of evolution of evolvability 

    Kuwahara, Hiroyuki; Soyer, Orkun S. (2012)
    Noisy bistable dynamics in gene regulation can underlie stochastic switching and is demonstrated to be beneficial under fluctuating environments. It is not known, however, if fluctuating selection alone can result in ...
  • Black Hole Lasers Revisited 

    Leonhardt, Ulf; Philbin, Thomas G. (Springer, 2007)
    The production of Hawking radiation by a single horizon is not dependent on the high-frequency dispersion relation of the radiated field. When there are two horizons, however, Corley and Jacobson have shown that superluminal ...
  • Blind source separation for non-stationary mixing 

    Everson, Richard M.; Roberts, Stephen (2000)
    Blind source separation attempts to recover independent sources which have been linearly mixed to produce observations. We consider blind source separation with non-stationary mixing, but stationary sources. The linear ...
  • Blowout bifurcation in a system of coupled chaotic lasers 

    Ashwin, Peter; Terry, John R.; Thornburg, K. Scott; Roy, Rajarshi (American Physical Society, 1998)
    We show that loss of synchronization of two identical coupled chaotic class B lasers can occur via a blowout bifurcation. This occurs when a transverse Lyapunov exponent governing the stability of a synchronized subspace ...