Calibrated parameter sets for the model
Julia sets in parameter spaces
... A
knowledgements. We are very grateful to Bodil Branner, Adrien Douady, John Hubbard and Carsten Petersen for en
ouraging us. We would like to thank the department of mathemati
s of the University at Cornell for its ...
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PAC Confidence Sets for Deep Neural Networks via Calibrated Prediction
... We use the visual object tracking benchmark from Wu et al. (2013) to train and evaluate our con- fidence set predictor. This benchmark consists of 99 video sequences labeled with ground truth bounding boxes. We randomly ...
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A calibrated Growth Model of Global Imbalances
... their model, increasing saving in emerging countries does not find sufficient sound local stores of value and, therefore, a rising proportion of saving flows to the perceived better ...behavioral model with ...
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3 Which design parameter sets extend?
... Fort Collins, Co 80523 U.S.A. Abstract Recent years have seen a dramatic increase in existence results for t- designs with large t, i.e. t ≥ 5. Designs are now known to exist for several thousand parameter ...
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A Knowledge Measure with Parameter of Intuitionistic Fuzzy Sets
... with parameter of intuitionistic fuzzy sets (IFSs) is presented based on the membership degree and the non-membership degree of IFSs, which complies with the extended form of Szmidt-Kacprzyk axioms for ...
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Evaluating climate model performance with various parameter sets using observations over the recent past
... system model of intermediate complexity and vary several parameters within a range based on the expert judgement of model ...climatic parameter sets and three carbon cycle parameter ...
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Choosing Parameter Sets for NTRUEncrypt with NAEP and SVES-3
... We can also estimate kFk by estimating the expected number of 0s, 1s, 2s, and so on, and calculating the centered norm using Equation 1. This third estimate of kFk gives a higher c value than the other methods described ...
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CiteSeerX — CALIBRATED SIMULATION MODEL CASE STUDIES IN AUSTRALIA
... Problems There are a number of theoretical and practical problems with the development of a calibrated model. A simulation typically uses a TRY file for weather data that is a representation of the ...
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Parameter estimation for a model of
... each model. In all cases, the bvt model gives the best fit, followed by the spt and Langmuir models, the latter providing the poorest fit for two of the three ...bvt model may in general be ...
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Sets of Fibre Homotopy Classes and Twisted Order Parameter Spaces
... 2. A sequence of sets of fibre homotopy classes We briefly recall the long exact sequence of sets of fibre homotopy classes of sec- tions from [1]. This sequence generalizes the homotopy sequence of a ...
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Fixing the c Parameter in the Three-Parameter Logistic Model
... item parameter estimation procedure using the maximum likelihood estimation method often was unsuccessful in obtaining converged estimates when the true c-parameter value was large (> ...c- ...
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Employment and inflation responses to an exchange rate shock in a calibrated model
... For simplicity, it is assumed that production technology is approximated by Cobb-Douglas production functions. It is initially assumed that capital stocks adjust fully so that the elasticity of capital demand with ...
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Calibrated Uncertainty
... of sets for which the more likely relationship is preserved whenever two unambiguous sets A, B are combined with a third disjoint unambiguous set C; that is, A ≽ B if and only if A ∪ C ≽ B ∪ C whenever A ∩ ...
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Limit sets and switching strategies in parameter-optimal iterative learning control
... typical parameter-optimal Iterative Learning ...these sets can be associated with the undesirable properties of apparent (but in fact temporary) convergence or permanent slow convergence properties in ...
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Faster Fixed Parameter Tractable Algorithms for Finding Feedback Vertex Sets
... T HEOREM 7. Let G be an undirected graph on n vertices. Then, for every fixed , 0 < < 1, we can determine whether or not G has a fvs of size at most k, and find one if it exists, in O(max( 6 , 2 log 3k 1 − ) k ...
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Parameter Identifiability and Parameter Estimation of a Diesel Engine Combustion Model
... 6. Conclusion In this paper an approach for analyze identifiability of the Wiebe model combustion with double phases has been proposed. The input-output-parameter relations which come from the ...
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An Empirically Calibrated Model for Interpreting the Evolution of Galaxies during the Reionization Era
... formation model whose goal is to interpret the emerging body of observational data of star-forming galaxies at z k ...our model to consider those observational techniques that hold the most promise and make ...
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Estimating the health impact of climate change with calibrated climate model output
... climate model output as future exposure ...climate model output for examining to the risks of future temperature on adverse health ...climate model output using nonlinear monotonic regression during ...
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s-convexity, model sets and their relation
... point sets which were first introduced as mathematical models of quasicrystals (‘cut and project’ or ‘model’ sets with quadratic ...such sets. These properties should make the sets ...
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Experimentally verified parameter sets for modelling heterogeneous neocortical pyramidal cell populations
... neuronal parameter with some plausibly chosen ...on parameter correla- tions in forms convenient for model ...the model parameters were respected. By quantifying the parameter ...
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