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Artículos de revistas sobre el tema "Reweighting"

Autor: Grafiati

Publicado: 4 de junio de 2021

Última modificación: 1 de febrero de 2022

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1

Assländer, Lorenz y Robert J. Peterka. "Sensory reweighting dynamics in human postural control". Journal of Neurophysiology 111, n.º 9 (1 de mayo de 2014): 1852–64. http://dx.doi.org/10.1152/jn.00669.2013.

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Healthy humans control balance during stance by using an active feedback mechanism that generates corrective torque based on a combination of movement and orientation cues from visual, vestibular, and proprioceptive systems. Previous studies found that the contribution of each of these sensory systems changes depending on perturbations applied during stance and on environmental conditions. The process of adjusting the sensory contributions to balance control is referred to as sensory reweighting. To investigate the dynamics of reweighting for the sensory modalities of vision and proprioception, 14 healthy young subjects were exposed to six different combinations of continuous visual scene and platform tilt stimuli while sway responses were recorded. Stimuli consisted of two components: 1) a pseudorandom component whose amplitude periodically switched between low and high amplitudes and 2) a low-amplitude sinusoidal component whose amplitude remained constant throughout a trial. These two stimuli were mathematically independent of one another and, thus, permitted separate analyses of sway responses to the two components. For all six stimulus combinations, the sway responses to the constant-amplitude sine were influenced by the changing amplitude of the pseudorandom component in a manner consistent with sensory reweighting. Results show clear evidence of intra- and intermodality reweighting. Reweighting dynamics were asymmetric, with slower reweighting dynamics following a high-to-low transition in the pseudorandom stimulus amplitude compared with low-to-high amplitude shifts, and were also slower for inter- compared with intramodality reweighting.

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2

Linker, Stephanie M., R. Gregor Weiß y Sereina Riniker. "Connecting dynamic reweighting Algorithms: Derivation of the dynamic reweighting family tree". Journal of Chemical Physics 153, n.º 23 (21 de diciembre de 2020): 234106. http://dx.doi.org/10.1063/5.0019687.

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3

Boriçi, Artan. "Reweighting with Stochastic Determinants". Progress of Theoretical Physics Supplement 153 (2004): 335–39. http://dx.doi.org/10.1143/ptps.153.335.

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4

Dickman, Ronald. "Reweighting in nonequilibrium simulations". Physical Review E 60, n.º 3 (1 de septiembre de 1999): R2441—R2444. http://dx.doi.org/10.1103/physreve.60.r2441.

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5

Koop, G. y D. J. Poirier. "Incomplete models and reweighting". Econometric Reviews 18, n.º 1 (enero de 1999): 97–104. http://dx.doi.org/10.1080/07474939908800431.

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6

Robinson, Norman F., Alan W. Gertler y William R. Pierson. "MOBILE4.1/5 reweighting software". Environmental Software 10, n.º 1 (enero de 1995): 11–22. http://dx.doi.org/10.1016/0266-9838(94)00018-3.

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7

Lorenz, Douglas J., Steven Levy y Somnath Datta. "Inferring marginal association with paired and unpaired clustered data". Statistical Methods in Medical Research 27, n.º 6 (20 de septiembre de 2016): 1806–17. http://dx.doi.org/10.1177/0962280216669184.

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In the marginal analysis of clustered data, where the marginal distribution of interest is that of a typical observation within a typical cluster, analysis by reweighting has been introduced as a useful tool for estimating parameters of these marginal distributions. Such reweighting methods have foundation in within-cluster resampling schemes that marginalize potential informativeness due to cluster size or within-cluster covariate distribution, to which reweighting methods are asymptotically equivalent. In this paper, we introduce a reweighting scheme for the marginal analysis of clustered data that generalizes prior reweighting methods, with a particular application to measuring bivariate correlation in unpaired clustered data, in which observations of two random variables are not naturally paired at the within-cluster level. We develop unpaired clustered data analogs of well-known product moment correlation coefficients (Pearson, Spearman, phi), as well as the polyserial coefficient for measuring correlation between one discrete and one continuous variable. We evaluate the performance of these coefficients via a simulation study and demonstrate their use by finding no statistically significant association between dental caries at an early age and dental fluorosis at age 13 using a large dental dataset.

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8

Enns, Deborah L. y Angelo N. Belcastro. "Early activation and redistribution of calpain activity in skeletal muscle during hindlimb unweighting and reweighting". Canadian Journal of Physiology and Pharmacology 84, n.º 6 (junio de 2006): 601–9. http://dx.doi.org/10.1139/y06-013.

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The aims of this study were the following: (i) to determine whether activation of the Ca2+-activated protease, calpain, is an early event during hindlimb unweighting (HU) in skeletal muscle; and (ii) to assess whether calpain activity is greater during reweighting compared with HU alone. Rats were exposed to 12, 24, and 72 h, or 9 d of HU, followed by reweighting for 0, 12, or 24 h. Calpain activities were assayed for total, soluble, and particulate fractions. Total calpain activity was increased in the soleus at all HU time points, whereas activities were elevated in the gastrocnemius only after 9 d of HU. With reweighting, calpain activity remained elevated at all time points for both muscles. In general, reweighting the gastrocnemius increased its calpain activity more than during HU only, whereas reweighting the soleus did not produce additional increases in its calpain activity. The increases in calpain activity were associated with a proportional increase in activity of the particulate (membrane- and protein-associated) fraction. The results suggest that calpain activation is an early event during HU in the soleus, and that the increases in calpain activity in both muscles are associated with a redistribution of activity from cytosolic to particulate fractions.

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9

Henriksen, E. J., C. S. Stump, T. H. Trinh y S. D. Beaty. "Role of glucose transport in glycogen supercompensation in reweighted rat skeletal muscle". Journal of Applied Physiology 80, n.º 5 (1 de mayo de 1996): 1540–46. http://dx.doi.org/10.1152/jappl.1996.80.5.1540.

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Hindlimb weight bearing after a 3-day period of hindlimb suspension (reweighting) of juvenile rats results in a marked transient elevation in soleus glycogen concentration that cannot be explained on the basis of the activities of glycogen synthase and phosphorylase. We have hypothesized that enhanced glucose transport activity could underlie this response. We directly tested this hypothesis by assessing the response of insulin-dependent and insulin-independent glucose transport activity (in vitro 2-[1,2-3H]deoxy-D-glucose uptake) as well as glucose transporter (GLUT-4) protein levels during a 48-h reweighting period. After a net glycogen loss (from 29 +/- 2 to 16 +/- 1 nmol/mg muscle; P < 0.05) during the first 2 h of reweighting, glycogen accumulated at an average rate of 1.4 nmol.mg-1.h-1 up to 18 h, reaching an apex of 38 +/- 1 nmol/mg. During this same reweighting period, insulin-independent, but not insulin-dependent, glucose transport activity was significantly enhanced (P < 0.05 vs. weight-bearing control values) and was associated with an elevated level of GLUT-4 protein and the specific activity of total hexokinase. The specific activity of citrate synthase was also increased. By 24 h of reweighting, although insulin-independent glucose transport activity and GLUT-4 protein remained elevated, glycogen accumulation had ceased, likely due to enhanced phosphorylase activity at this time point. These results are consistent with the interpretation that the glycogen supercompensation seen during reweighting of the rat soleus may be regulated in part by an enhanced glucose flux arising from an increase in insulin-independent glucose transport activity and hexokinase activity.

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10

Nguyen, Nancy Duong y Li-Chun Zhang. "An Appraisal of Common Reweighting Methods for Nonresponse in Household Surveys Based on the Norwegian Labour Force Survey and the Statistics on Income and Living Conditions Survey". Journal of Official Statistics 36, n.º 1 (1 de marzo de 2020): 151–72. http://dx.doi.org/10.2478/jos-2020-0008.

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AbstractDespite increasing efforts during data collection, nonresponse remains sizeable in many household surveys. Statistical adjustment is hence unavoidable. By reweighting the design, weights of the respondents are adjusted to compensate for nonresponse. However, there is no consensus on how this should be carried out in general. Theoretical comparisons are inconclusive in the literature, and the associated simulation studies involve hypothetical situations not all equally relevant to reality. In this article we evaluate the three most common reweighting approaches in practice, based on real data in Norway from the two largest household surveys in the European Statistical System. We demonstrate how cross- examination of various reweighting estimators can help inform the effectiveness of the available auxiliary variables and the choice of the weight adjustment method.

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11

Shen, Zheyan, Peng Cui, Tong Zhang y Kun Kunag. "Stable Learning via Sample Reweighting". Proceedings of the AAAI Conference on Artificial Intelligence 34, n.º 04 (3 de abril de 2020): 5692–99. http://dx.doi.org/10.1609/aaai.v34i04.6024.

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We consider the problem of learning linear prediction models with model misspecification bias. In such case, the collinearity among input variables may inflate the error of parameter estimation, resulting in instability of prediction results when training and test distributions do not match. In this paper we theoretically analyze this fundamental problem and propose a sample reweighting method that reduces collinearity among input variables. Our method can be seen as a pretreatment of data to improve the condition of design matrix, and it can then be combined with any standard learning method for parameter estimation and variable selection. Empirical studies on both simulation and real datasets demonstrate the effectiveness of our method in terms of more stable performance across different distributed data.

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12

Köfinger, Jürgen, Lukas S. Stelzl, Klaus Reuter, César Allande, Katrin Reichel y Gerhard Hummer. "Efficient Ensemble Refinement by Reweighting". Journal of Chemical Theory and Computation 15, n.º 5 (2 de abril de 2019): 3390–401. http://dx.doi.org/10.1021/acs.jctc.8b01231.

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13

Schäfer, Timo M. y Giovanni Settanni. "Data Reweighting in Metadynamics Simulations". Journal of Chemical Theory and Computation 16, n.º 4 (19 de marzo de 2020): 2042–52. http://dx.doi.org/10.1021/acs.jctc.9b00867.

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14

van Beers, R. J., C. M. van Mierlo, J. B. J. Smeets y E. Brenner. "Reweighting visual cues by touch". Journal of Vision 11, n.º 10 (27 de septiembre de 2011): 20. http://dx.doi.org/10.1167/11.10.20.

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15

Westrick, Z. M., D. J. Heeger y M. S. Landy. "Pattern Adaptation and Normalization Reweighting". Journal of Neuroscience 36, n.º 38 (21 de septiembre de 2016): 9805–16. http://dx.doi.org/10.1523/jneurosci.1067-16.2016.

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16

Rogozhnikov, Alex. "Reweighting with Boosted Decision Trees". Journal of Physics: Conference Series 762 (octubre de 2016): 012036. http://dx.doi.org/10.1088/1742-6596/762/1/012036.

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17

Donati, Luca y Bettina G. Keller. "Girsanov reweighting for metadynamics simulations". Journal of Chemical Physics 149, n.º 7 (21 de agosto de 2018): 072335. http://dx.doi.org/10.1063/1.5027728.

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18

Li, Shuang, Shiji Song y Gao Huang. "Prediction Reweighting for Domain Adaptation". IEEE Transactions on Neural Networks and Learning Systems 28, n.º 7 (julio de 2017): 1682–95. http://dx.doi.org/10.1109/tnnls.2016.2538282.

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19

Ferrenberg, Alan M., D. P. Landau y Robert H. Swendsen. "Statistical errors in histogram reweighting". Physical Review E 51, n.º 5 (1 de mayo de 1995): 5092–100. http://dx.doi.org/10.1103/physreve.51.5092.

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20

Sacchi, Mauricio D. "Reweighting strategies in seismic deconvolution". Geophysical Journal International 129, n.º 3 (junio de 1997): 651–56. http://dx.doi.org/10.1111/j.1365-246x.1997.tb04500.x.

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21

Harmon, Zara, Kaori Idemaru y Vsevolod Kapatsinski. "Learning mechanisms in cue reweighting". Cognition 189 (agosto de 2019): 76–88. http://dx.doi.org/10.1016/j.cognition.2019.03.011.

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22

Pardo-Ibáñez, Alberto, Jose L. Bermejo, Sergio Gandia, Julien Maitre, Israel Villarrasa-Sapiña, Isaac Estevan y Xavier Garcia-Masso. "Sensory Reweighting During Bipedal Quiet Standing in Adolescents". Motor Control 24, n.º 3 (1 de julio de 2020): 383–96. http://dx.doi.org/10.1123/mc.2018-0119.

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A cross-sectional, prospective, between-subjects design was used in this study to establish the differences in sensory reweighting of postural control among different ages during adolescence. A total of 153 adolescents (five age groups; 13–17 years old) performed bipedal standing in three sensory conditions (i.e., with visual restriction, vestibular disturbance, and proprioceptive disturbance). Center of pressure displacement signals were measured in mediolateral and anteroposterior directions to characterize reweighting in the sensory system in static postural control when sensory information is disturbed or restricted during adolescent growth. The results indicate a development of postural control, showing large differences between subjects of 13–14 years old and older adolescents. A critical change was found in sensory reweighting during bipedal stance with disturbance of proprioceptive information at 15 years old. Adolescents of 13–14 years old showed less postural control and performance than older adolescents during the disturbance of proprioceptive information. Moreover, the results demonstrated that the visual system achieves its development around 15–16 years old. In conclusion, this research suggests that a difference of sensory reweighting under this type of sensorial condition and sensory reweight systems would seem to achieve stabilization at the age of 15.

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23

Cenciarini, Massimo y Robert J. Peterka. "Stimulus-Dependent Changes in the Vestibular Contribution to Human Postural Control". Journal of Neurophysiology 95, n.º 5 (mayo de 2006): 2733–50. http://dx.doi.org/10.1152/jn.00856.2004.

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Humans maintain stable stance in a wide variety of environments. This robust behavior is thought to involve sensory reweighting whereby the nervous system adjusts the relative contribution of sensory sources used to control stance depending on environmental conditions. Based on prior experimental and modeling results, we developed a specific quantitative representation of a sensory reweighting hypothesis that predicts that a given reduction in the contribution from one sensory system will be accompanied by a corresponding increase in the contribution from different sensory systems. The goal of this study was to test this sensory-reweighting hypothesis using measures that quantitatively assess the relative contributions of the proprioceptive and graviceptive (vestibular) systems to postural control during eyes-closed stance in different test conditions. Medial/lateral body sway was evoked by side-to-side rotation of the support surface (SS) while simultaneously delivering a pulsed galvanic vestibular stimulus (GVS) through electrodes behind the ears. A model-based interpretation of sway evoked by SS rotations provided estimates of the proprioceptive weighting factor, Wp, and showed that Wp declined with increasing SS amplitude. If the sensory-reweighting hypothesis is true, then the decline in Wp should be accompanied by a corresponding increase in Wg, the graviceptive weighting factor, and responses to the GVS should increase in proportion to the value of Wg derived from responses to SS rotations. Results were consistent with the predictions of the proposed sensory-reweighting hypothesis. GVS-evoked sway increased with increasing SS amplitude, and Wg measures derived from responses to GVS and from responses to SS rotations were highly correlated.

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24

LEE, HWEE KUAN y YUTAKA OKABE. "MULTISPIN CODING TECHNIQUE FOR NONEQUILIBRIUM REWEIGHTING". International Journal of Modern Physics C 17, n.º 02 (febrero de 2006): 157–65. http://dx.doi.org/10.1142/s0129183106008844.

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We present the multispin coding for the nonequilibrium reweighting method of the Monte Carlo simulation, that was developed by the present authors. As an illustration, we treat the driven diffusive lattice gas model. We use the multispin coding technique both for the spin update and for the calculation of the histogram of incremental weights, which is needed in the calculation of nonequilibrium reweighting. All the operations are executed by the bitwise logical commands.

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25

Yamaguchi, Felipe, Jaclyn Caccese, Fernando Santos y John Jeka. "Repetitive head impact exposure and sensory reweighting for upright stance". Neurology 93, n.º 14 Supplement 1 (30 de septiembre de 2019): S6.2—S6. http://dx.doi.org/10.1212/01.wnl.0000580884.79220.33.

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ObjectiveTo compare sensory reweighting between soccer players who report higher exposure to soccer heading and those who report lower exposure to soccer heading.BackgroundExposure to repetitive head impacts (RHI), such as through routine soccer heading, may have potentially detrimental effects.Design/MethodsThirty participants completed a self-reported questionnaire to estimate the number of RHI sustained weekly, and were divided into low-, medium-, and high-RHI groups based on their responses. Sensory reweighting was compared between low-RHI (N = 10, 4 males, 22.9 ± 3.0 years, 170.5 ± 7.7 cm, 70.0 ± 12.14 kg, 2 ± 2 RHI) and high-RHI groups (N = 10, 5 males, 20.0 ± 1.1 years, 170.4 ± 7.4 cm, 69.6 ± 13.4 kg, 60 ± 37 RHI). Participants experienced a visual stimulus at 0.2 Hz, a ±1 mA binaural monopolar galvanic vestibular stimulus (GVS) at 0.36 Hz, and a vibratory stimulus to their bilateral Achilles tendons at 0.28 Hz during standing. The visual stimulus was presented at different amplitudes (0.2, 0.8 m translation in the anterior-posterior direction) to measure the change in leg gain to vision, gain to vibration, and gain to GVS. A repeated-measures ANOVA was used to compare sensory reweighting between groups.ResultsThere were group differences in sensory reweighting for leg gain to GVS (i.e. condition X group effect; F3,54 = 5.068, p = 0.004, η2 = 0.220), whereby the high-RHI group did not reweight gain to GVS across conditions, and gain to vision (F3,54 = 3.397, p = 0.024, η2 = 0.159), whereby the high-RHI group had higher gains than the low-RHI group in the 0.2 m visual stimulus condition. There were no group differences in sensory reweighting for gain to vibration (F1,18 = 0.045, p = 0.834, η2 = 0.003).ConclusionsRoutine soccer heading is associated with relatively high head accelerations. These results suggest that exposure to frequent RHI may induce adaptation that diminishes reliance on vestibular function. Consequently, visual feedback is upweighted to maintain balance during upright stance.

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26

Caccese, Jaclyn B., Fernando V. Santos, Felipe Yamaguchi y John J. Jeka. "Age of First Exposure to Soccer Heading and Sensory Reweighting for Upright Stance". International Journal of Sports Medicine 41, n.º 09 (4 de mayo de 2020): 616–27. http://dx.doi.org/10.1055/a-1141-3553.

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AbstractUS Soccer eliminated soccer heading for youth players ages 10 years and younger and limited soccer heading for children ages 11–13 years. Limited empirical evidence associates soccer heading during early adolescence with medium-to-long-term behavioral deficits. The purpose of this study was to compare sensory reweighting for upright stance between college-aged soccer players who began soccer heading ages 10 years and younger (AFE ≤ 10) and those who began soccer heading after age 10 (AFE > 10). Thirty soccer players self-reported age of first exposure (AFE) to soccer heading. Sensory reweighting was compared between AFE ≤ 10 and AFE > 10. To evaluate sensory reweighting, we simultaneously perturbed upright stance with visual, vestibular, and proprioceptive stimulation. The visual stimulus was presented at two different amplitudes to measure the change in gain to vision, an intra-modal effect; and change in gain to galvanic vestibular stimulus (GVS) and vibration, both inter-modal effects. There were no differences in gain to vision (p=0.857, η2=0.001), GVS (p=0.971, η2=0.000), or vibration (p=0.974, η2=0.000) between groups. There were no differences in sensory reweighting for upright stance between AFE ≤ 10 and AFE > 10, suggesting that soccer heading during early adolescence is not associated with balance deficits in college-aged soccer players, notwithstanding potential deficits in other markers of neurological function

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27

Malinverni y Barducci. "Coevolutionary Analysis of Protein Subfamilies by Sequence Reweighting". Entropy 21, n.º 11 (16 de noviembre de 2019): 1127. http://dx.doi.org/10.3390/e21111127.

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Extracting structural information from sequence co-variation has become a common computational biology practice in the recent years, mainly due to the availability of large sequence alignments of protein families. However, identifying features that are specific to sub-classes and not shared by all members of the family using sequence-based approaches has remained an elusive problem. We here present a coevolutionary-based method to differentially analyze subfamily specific structural features by a continuous sequence reweighting (SR) approach. We introduce the underlying principles and test its predictive capabilities on the Response Regulator family, whose subfamilies have been previously shown to display distinct, specific homo-dimerization patterns. Our results show that this reweighting scheme is effective in assigning structural features known a priori to subfamilies, even when sequence data is relatively scarce. Furthermore, sequence reweighting allows assessing if individual structural contacts pertain to specific subfamilies and it thus paves the way for the identification specificity-determining contacts from sequence variation data.

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28

SÆTHER, OLE A. "A new subgenus and new species of Orthocladius van der Wulp, with a phylogenetic evaluation of the validity of the subgenera of the genus (Diptera: Chironomidae)". Zootaxa 974, n.º 1 (9 de mayo de 2005): 1. http://dx.doi.org/10.11646/zootaxa.974.1.1.

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A new subgenus, Mesorthocladius, of the genus Orthocladius v. d. Wulp is erected and diagnoses are provided for all stages and both sexes. Orthocladius (Mesorthocladius) lamellatus sp. n. and O. (Mesorthocladius) nimidens sp. n. are described in both sexes and all stages. Orthocladius (Euorthocladius) annellae sp. n. is described in both sexes and the pupa. The females of O. (Euorthocladius) rivicola Kieffer, O. (Eurthocladius) ashei Soponis, and O. (Orthocladius) dentifer Brundin are described for the first time. The larva of O. (Orthocladius) nitidoscutellatus Lundström (syn. Orthocladius trigonolabis Edwards) is described for the first time. A parsimony analysis of all species of Orthocladius with known pupae and male imagines is performed. The subgenera Eudactylocladius Thienemann and Euorthocladius Thienemann are always monophyletic, while Symposiocladius Cranston is paraphyletic before successive reweighting, but monophyletic after; Mesorthocladius is monophyletic before reweighting, but paraphyletic after; and Orthocladius s. str. is polyphyletic before reweighting and monophyletic after. Keys to subgenera for both sexes and all stages are given.

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29

Bonan, I. "Evolution of sensory reweighting after stroke". Annals of Physical and Rehabilitation Medicine 56 (octubre de 2013): e44. http://dx.doi.org/10.1016/j.rehab.2013.07.013.

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Maalouf, Noel, Imad H. Elhajj, Elie Shammas y Daniel Asmar. "Humanoid push recovery using sensory reweighting". Robotics and Autonomous Systems 94 (agosto de 2017): 208–18. http://dx.doi.org/10.1016/j.robot.2017.04.009.

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31

Martschei, D., M. Feindt, S. Honc y J. Wagner-Kuhr. "Advanced event reweighting using multivariate analysis". Journal of Physics: Conference Series 368 (21 de junio de 2012): 012028. http://dx.doi.org/10.1088/1742-6596/368/1/012028.

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32

Kieninger, Stefanie, Luca Donati y Bettina G. Keller. "Dynamical reweighting methods for Markov models". Current Opinion in Structural Biology 61 (abril de 2020): 124–31. http://dx.doi.org/10.1016/j.sbi.2019.12.018.

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33

Palmer, Nicholas y Matthew Hughes. "Labour Force Survey: interim reweighting 2007". Economic & Labour Market Review 2, n.º 1 (enero de 2008): 49–53. http://dx.doi.org/10.1057/elmr.2008.10.

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34

Palmer, Nick y Mark Chandler. "Labour Force Survey: interim reweighting 2008". Economic & Labour Market Review 2, n.º 11 (noviembre de 2008): 36–39. http://dx.doi.org/10.1057/elmr.2008.170.

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35

Ball, Richard D., Valerio Bertone, Francesco Cerutti, Luigi Del Debbio, Stefano Forte, Alberto Guffanti, José I. Latorre, Juan Rojo y Maria Ubiali. "Reweighting NNPDFs: The W lepton asymmetry". Nuclear Physics B 849, n.º 1 (agosto de 2011): 112–43. http://dx.doi.org/10.1016/j.nuclphysb.2011.03.017.

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36

Elci, Atilla. "Text Classification by PNNbased Term Reweighting". International Journal of Computer Applications 29, n.º 12 (29 de septiembre de 2011): 7–13. http://dx.doi.org/10.5120/3701-5188.

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37

Joosten, Eva R. M., Shihab A. Shamma, Christian Lorenzi y Peter Neri. "Dynamic Reweighting of Auditory Modulation Filters". PLOS Computational Biology 12, n.º 7 (11 de julio de 2016): e1005019. http://dx.doi.org/10.1371/journal.pcbi.1005019.

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38

Kline, Patrick. "Oaxaca-Blinder as a Reweighting Estimator". American Economic Review 101, n.º 3 (1 de mayo de 2011): 532–37. http://dx.doi.org/10.1257/aer.101.3.532.

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The classic regression based estimator of counterfactual means studied by Ronald Oaxaca (1973) and Alan Blinder (1973) is shown to constitute a propensity score reweighting estimator based upon a linear model for the conditional odds of being treated.

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39

Carver, Sean, Tim Kiemel y John J. Jeka. "Modeling the Dynamics of Sensory Reweighting". Biological Cybernetics 95, n.º 2 (26 de abril de 2006): 123–34. http://dx.doi.org/10.1007/s00422-006-0069-5.

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40

Dotto, Francesco, Alessio Farcomeni, Luis Angel García-Escudero y Agustín Mayo-Iscar. "A reweighting approach to robust clustering". Statistics and Computing 28, n.º 2 (28 de marzo de 2017): 477–93. http://dx.doi.org/10.1007/s11222-017-9742-x.

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41

Bussone, Andrea, Michele Della Morte, Martin Hansen y Claudio Pica. "On reweighting for twisted boundary conditions". Computer Physics Communications 219 (octubre de 2017): 91–98. http://dx.doi.org/10.1016/j.cpc.2017.05.011.

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42

Alberts, Bart B. G. T., Luc P. J. Selen, Wim I. M. Verhagen, Ronald J. E. Pennings y W. Pieter Medendorp. "Bayesian quantification of sensory reweighting in a familial bilateral vestibular disorder (DFNA9)". Journal of Neurophysiology 119, n.º 3 (1 de marzo de 2018): 1209–21. http://dx.doi.org/10.1152/jn.00082.2017.

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DFNA9 is a rare progressive autosomal dominantly inherited vestibulo-cochlear disorder, resulting in a homogeneous group of patients with hearing impairment and bilateral vestibular function loss. These patients suffer from a deteriorated sense of spatial orientation, leading to balance problems in darkness, especially on irregular surfaces. Both behavioral and functional imaging studies suggest that the remaining sensory cues could compensate for the loss of vestibular information. A thorough model-based quantification of this reweighting in individual patients is, however, missing. Here we psychometrically examined the individual patient’s sensory reweighting of these cues after complete vestibular loss. We asked a group of DFNA9 patients and healthy control subjects to judge the orientation (clockwise or counterclockwise relative to gravity) of a rod presented within an oriented square frame (rod-in-frame task) in three different head-on-body tilt conditions. Our results show a cyclical frame-induced bias in perceived gravity direction across a 90° range of frame orientations. The magnitude of this bias was significantly increased in the patients compared with the healthy control subjects. Response variability, which increased with head-on-body tilt, was also larger for the patients. Reverse engineering of the underlying signal properties, using Bayesian inference principles, suggests a reweighting of sensory signals, with an increase in visual weight of 20–40% in the patients. Our approach of combining psychophysics and Bayesian reverse engineering is the first to quantify the weights associated with the different sensory modalities at an individual patient level, which could make it possible to develop personal rehabilitation programs based on the patient’s sensory weight distribution.NEW & NOTEWORTHY It has been suggested that patients with vestibular deficits can compensate for this loss by increasing reliance on other sensory cues, although an actual quantification of this reweighting is lacking. We combine experimental psychophysics with a reverse engineering approach based on Bayesian inference principles to quantify sensory reweighting in individual vestibular patients. We discuss the suitability of this approach for developing personal rehabilitation programs based on the patient’s sensory weight distribution.

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43

Assländer, Lorenz y Robert J. Peterka. "Sensory reweighting dynamics following removal and addition of visual and proprioceptive cues". Journal of Neurophysiology 116, n.º 2 (1 de agosto de 2016): 272–85. http://dx.doi.org/10.1152/jn.01145.2015.

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Removing or adding sensory cues from one sensory system during standing balance causes a change in the contribution of the remaining sensory systems, a process referred to as sensory reweighting. While reweighting changes have been described in many studies under steady-state conditions, less is known about the temporal dynamics of reweighting following sudden transitions to different sensory conditions. The present study changed sensory conditions by periodically adding or removing visual (lights On/Off) or proprioceptive cues (surface sway referencing On/Off) in 12 young, healthy subjects. Evidence for changes in sensory contributions to balance was obtained by measuring the time course of medial-lateral sway responses to a constant-amplitude 0.56-Hz sinusoidal stimulus, applied as support surface tilt (proprioceptive contribution), as visual scene tilt (visual contribution), or as binaural galvanic vestibular stimulation (vestibular contribution), and by analyzing the time course of sway variability. Sine responses and variability of body sway velocity showed significant changes following transitions and were highly correlated under steady-state conditions. A dependence of steady-state responses on upcoming transitions was observed, suggesting that knowledge of impending changes can influence sensory weighting. Dynamic changes in sway in the period immediately following sensory transitions were very inhomogeneous across sway measures and in different experimental tests. In contrast to steady-state results, sway response and variability measures were not correlated with one another in the dynamic transition period. Several factors influence sway responses following addition or removal of sensory cues, partly instigated by but also obscuring the effects of reweighting dynamics.

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44

Caccese, Jaclyn, Fernando Santos, Felipe Yamaguchi y John Jeka. "Age of first exposure to soccer heading and sensory reweighting for upright stance". Neurology 93, n.º 14 Supplement 1 (30 de septiembre de 2019): S6.1—S6. http://dx.doi.org/10.1212/01.wnl.0000580880.71596.48.

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ObjectiveTo compare sensory reweighting for upright stance between soccer players who began soccer heading before age 10 years (AFE ≤ 10) and those who began soccer heading after age 10 years (AFE > 10).BackgroundIn 2015, US Soccer announced an initiative to eliminate soccer heading for youth players ages 10 years and younger and to limit soccer heading for children ages 11 to 13 years. Limited empirical evidence associates soccer heading during early adolescence and long-term behavioral deficits.Design/MethodsThirty college-aged soccer players self-reported AFE to soccer heading. Sensory reweighting was compared between AFE ≤ 10 [n = 19, 11 males (58%), 22 ± 3 years, 171 ± 9 cm, 70 ± 11 kg, 5 with concussion history (26%)] and AFE > 10 [N = 11, 5 males (45%), 22 ± 2 years, 172 ± 7 cm, 69 ± 13 kg, 3 with concussion history (27%)]. To evaluate sensory reweighting, we simultaneously perturbed upright stance with visual (i.e., moving visual scene at 0.2 Hz), vestibular (i.e., ±1 mA bilateral monopolar galvanic vestibular stimulus (GVS) at 0.36 Hz), and proprioceptive stimulation (i.e., 80 Hz vibratory stimulus to their bilateral Achilles tendons at 0.28 Hz). The visual stimulus was presented at different amplitudes (i.e., 0.2 m, 0.8 m in the anterior-posterior (AP) direction) to measure the leg-segment AP displacement change in gain to vision, an intramodal effect; and change in gain to GVS and vibration, both intermodal effects. A repeated-measures ANOVA was used to compare sensory reweighting between groups.ResultsThere were no differences in gain to vision (F1,28 = 0.033, p = 0.857, η2 = 0.001), gain to GVS (F1,28 = 0.001, p = 0.971, η2 = 0.000), or gain to vibration (F1,28 = 0.001, p = 0.974, η2 = 0.000), and no differences in sensory reweighting (i.e. conditionXgroup effect; vision, F3,84 = 0.160, p = 0.923, η2 = 0.006; GVS, F3,84 = 0.043, p = 0.988, η2 = 0.002; vibration, F1,28 = 0.068, p = 0.797, η2 = 0.002).ConclusionsThere were no differences in sensory processing for upright stance between AFE ≤ 10 and AFE > 10, suggesting that soccer heading during early adolescence is not associated with balance deficits in college-aged soccer players, notwithstanding potential deficits in other markers of neurological function.

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45

Hermalin, Albert I., Barbara Entwisle y Zeinab Khadr. "Reweighting DHS Data to Serve Multiple Perspectives". Studies in Family Planning 27, n.º 2 (marzo de 1996): 88. http://dx.doi.org/10.2307/2138136.

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46

Finkenrath, Jacob, Francesco Knechtli y Björn Leder. "One flavor mass reweighting in lattice QCD". Nuclear Physics B 877, n.º 2 (diciembre de 2013): 441–56. http://dx.doi.org/10.1016/j.nuclphysb.2013.10.019.

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47

Paukkunen, Hannu y Pia Zurita. "Bayesian PDF reweighting meets the Hessian methods". Nuclear and Particle Physics Proceedings 273-275 (abril de 2016): 1532–38. http://dx.doi.org/10.1016/j.nuclphysbps.2015.09.248.

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48

Petrov, A. A. "A Selective-Reweighting Model of Perceptual Learning". Journal of Vision 11, n.º 11 (23 de septiembre de 2011): 8. http://dx.doi.org/10.1167/11.11.8.

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49

Blanchard, Gilles. "Different Paradigms for Choosing Sequential Reweighting Algorithms". Neural Computation 16, n.º 4 (1 de abril de 2004): 811–36. http://dx.doi.org/10.1162/089976604322860712.

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Analyses of the success of ensemble methods in classification have pointed out the important role played by the margin distribution function on the training and test sets. While it is acknowledged that one should generally try to achieve high margins on the training set, the more precise shape of the empirical margin distribution function one should favor in practice is subject to different approaches. We first present two concurrent philosophies for choosing the empirical margin profile: the minimax margin paradigm and the mean and variance paradigm. The best-known representative of the first paradigm is the AdaBoost algorithm, and this philosophy has been shown by several other authors to be closely related to the principle of the support vector machine. We show that the second paradigm is very close in spirit to Fisher's linear discriminant (in a feature space). We construct two boosting-type algorithms, very similar in their form, dedicated to one or the other philosophy. We consequently derive by interpolation a very simple family of iterative reweighting algorithms that can be understood as different trade-offs between the two paradigms and argue from experiments that this can allow for a suitable adaptivity to different classification problems, particularly in the presence of noise or excessive complexity of the base classifiers.

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50

Ahmed, Ali, Naomie Salim y Ammar Abdo. "Fragment Reweighting in Ligand-Based Virtual Screening". Advanced Science Letters 19, n.º 9 (1 de septiembre de 2013): 2782–86. http://dx.doi.org/10.1166/asl.2013.5012.

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