Showing 1 - 20 results of 881 for search '"FITTED"', query time: 0.10s Refine Results
  1. 1

    Quantum Algorithm for Data Fitting by Wiebe, Nathan, Braun, Daniel, Lloyd, Seth

    Published 2012
    “…We provide a new quantum algorithm that efficiently determines the quality of a least-squares fit over an exponentially large data set by building upon an algorithm for solving systems of linear equations efficiently [Harrow et al., Phys. …”
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  2. 2

    Fitting the Higgs to natural SUSY by D’Agnolo, R. T., Kuflik, Eric, Zanetti, Marco

    Published 2014
    “…We present a fit to the 2012 LHC Higgs data in different supersymmetric frameworks using naturalness as a guiding principle. …”
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    Peak-fitting and integration imprecision in the Aerodyne aerosol mass spectrometer: effects of mass accuracy on location-constrained fits by Othman, A., Sierau, B., Lohmann, U., Haskins, Jessica D., Corbin, J. C., Allan, J. D., Worsnop, D. R., Mensah, A. A.

    Published 2015
    “…In the first part of this work, it is shown that peak-integration errors are expected to scale linearly with peak height for the constrained-peak-shape fits performed in the HR-AMS. An empirical analysis is undertaken to investigate the most complex source of peak-integration imprecision: the imprecision in fitted peak height, σ[subscript h]. …”
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    Exact Goodness-of-Fit Testing for the Ising Model by Martín del Campo, Abraham, Cepeda, Sarah, Uhler, Caroline

    Published 2017
    “…It was originally proposed to model ferromagnetic interactions in statistical physics and is now widely used to model spatial processes in many areas such as ecology, sociology, and genetics, usually without testing its goodness of fit. Here, we propose various test statistics and an exact goodness-of-fit test for the finite-lattice Ising model. …”
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    Charge Optimization Theory for Induced-Fit Ligands by Shen, Yang, Gilson, Michael K., Tidor, Bruce

    Published 2013
    “…Here, we extend the theory to treat induced-fit ligands for which the unbound ligand conformation may differ from the bound conformation. …”
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    Hidden Randomness between Fitness Landscapes Limits Reverse Evolution by Tan, Longzhi, Serene, Stephen R., Chao, Hui Xiao, Gore, Jeff

    Published 2011
    “…To study this “reverse evolution” on a genotypic level, we measured the fitness of E. coli strains with each possible combination of five mutations in an antibiotic-resistance gene in two distinct antibiotic environments. …”
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    Comprehensive experimental fitness landscape and evolutionary network for small RNA by Jimenez Zarco, Jose I., Xulvi-Brunet, Ramon, Campbell, Gregory W., Turk-MacLeod, Rebecca, Chen, Irene A.

    Published 2014
    “…Fitness landscapes are the subject of much speculation, but their structure is essentially unknown. …”
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    Improving microbial fitness in the mammalian gut by in vivo temporal functional metagenomics by Yaung, Stephanie J., Deng, Luxue, Li, Ning, Braff, Jonathan L., Church, George M., Bry, Lynn, Wang, Harris H., Gerber, Georg K.

    Published 2015
    “…We present Temporal FUnctional Metagenomics sequencing (TFUMseq), a platform to functionally mine bacterial genomes for genes that contribute to fitness of commensal bacteria in vivo. Our approach uses metagenomic DNA to construct large‐scale heterologous expression libraries that are tracked over time in vivo by deep sequencing and computational methods. …”
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    Fitting Teams to the Task: Product Development Vs. Operations Improvement at Saturn and Nummi by Fine, Charles H., Novak, Sharon (Economist)

    Published 2002
    “…Based on this comparison, we offer a model to assess the fit between employee involvement activity emphasis (product development vs. operations improvement) and timescale of the involvement process.…”
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    Aneuploidy impairs hematopoietic stem cell fitness and is selected against in regenerating tissues in vivo by Pfau, Sarah Jeanne, Silberman, Rebecca Estelle, Knouse, Kristin Ann, Amon, Angelika B.

    Published 2017
    “…We did not observe cancer but instead found that aneuploid hematopoietic stem cells (HSCs) exhibit decreased fitness. This reduced fitness is due at least in part to the decreased proliferative potential of aneuploid hematopoietic cells. …”
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    An Accelerated Chow and Liu Algorithm: Fitting Tree Distributions to High Dimensional Sparse Data by Meila, Marina

    Published 2004
    “…Chow and Liu introduced an algorithm for fitting a multivariate distribution with a tree (i.e. a density model that assumes that there are only pairwise dependencies between variables) and that the graph of these dependencies is a spanning tree. …”
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