Classes For Describing The Scale Of A Parameter
Estimation of Scale Parameter Under a Bounded Loss Function
... unknown scale parameter, but this loss with its infinite maximum value, is not appropriate in describing , for example, the loss associated with a ...a scale parameter estimation,we use ...
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A Parameter-Free Classification Method for Large Scale Learning
... Data mining is “the non-trivial process of identifying valid, novel , potentially useful, and ultimately understandable patterns in data” (Fayyad et al., 1996). Several industrial partners have proposed to formalize this ...
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Gravity model parameter calibration for large scale strategic transport models
... Structure of the remaining thesis Chapter 2 introduces the reader to the gravity model of traffic by describing a basic doubly constrained si- multaneous gravity model. In chapter 3 the full trip distribution ...
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A novel scale for describing corneal staining
... step scale of 0–100 gave rise to a preferential use of numbers that were multiples of ...redness scale, but the preferential use of “friendly” values results could also apply to this corneal staining ...a ...
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Skewness by splitting the scale parameter
... For that reason, the proceeding is as follows. Section 2 reviews the technique of splitting the scale parameter. In section 3, we specify our notion of skewness and prove that the transformed distributions ...
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Fixed-Parameter Tractable Distances to Sparse Graph Classes
... Abstract We show that for various classes C of sparse graphs, and several measures of distance to such classes such as edit distance and elimination distance, the problem of determining [r] ...
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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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Describing Unseen Classes by Exemplars: Zero-Shot Learning Using Grouped Simile Ensemble
... the whole training set. It then becomes impossible to differ- entiate these attributes from each other since they share the same positive and negative samples. Simile is a figure of speech that directly compares two ...
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Large-scale simulations of intrinsic parameter fluctuations in nano-scale MOSFETs
... intrinsic parameter fluctuations in nano-scale MOSFETs in detail through large scale statistical ...transistor parameter distributions can be obtained from experimental measurements, however ...
169
On the Half-Cauchy Prior for a Global Scale Parameter
... Abstract. This paper argues that the half-Cauchy distribution should replace the inverse-Gamma distribution as a default prior for a top-level scale parameter in Bayesian hierarchical models, at least for ...
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CONFIDENCE INTERVALS FOR THE SCALE PARAMETER OF A TWO-PARAMETER WEIBULL DISTRIBUTION: ONE SAMPLE PROBLEM
... the scale parameter θ in a two parameter Weibull distribution is ...the scale parameter θ are ...the scale parameter θ of the two parameter Weibull distribution for ...
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Bayesian Approach in Estimation of Scale Parameter of Nakagami Distribution
... Abstract Nakagami distribution is a flexible lifetime distribution that may offer a good fit to some failure data sets. It has applications in attenuation of wireless signals traversing multiple paths, deriving unit ...
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A large-scale survey of adverse events experienced in yoga classes
... class attendees. It also examined the characteristics and frequencies of adverse events observed to date by 271 yoga therapists. Our survey showed that the class at- tendees with chronic disease accounted for 54% of the ...
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Parameter identification of large-scale magnetorheological dampers in a benchmark building
... modified parameter identification method of large-scale magnetorheological damp- ers which are represented using the normalized Bouc–Wen ...the parameter estimation. The validation of the ...
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Parameter Optimization in GA for Large scale Traveling Salesman Problem
... the parameter crossover probability pc, the mutation probability pm and the population size are fixed in the evolutionary process, but the actual research shows that the three are the key factors that affect the ...
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Estimation of the scale parameter of gamma model in presence of outlier observations
... This paper considers the Bayesian point estimation of the scale parameter for a two-parameter gamma life-testl,g model In presence of several outller observations in the data.. The Bayes[r] ...
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Sequential point and interval estimation of scale parameter of exponential distribution
... Here we derive exact expressions for the stopping time and confidence coefficient of the fixed-width interval estimation procedure and for the stopping time associted with point estimati[r] ...
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On Robustness of a Sequential Test for Scale Parameter of Gamma and Exponential Distributions
... about scale parameter of gamma distribution with known shape parameter and exponential distribution with location ...for scale parameter of gamma distribution is studied when the shape ...
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Towards a parameter free theory for electrochemical process at the nano scale
... electronic scale processes at the electrode surfaces under an applied ...electronic scale processes at the electrode surfaces under an applied potential is still ...
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Parameter identification of two-time-scale nonlinear transient models
... the parameter vector is of size P , the gradient calculation is obtained by evaluating the misfit function in 2P additional ‘points’, each couple of points corre- sponding to two symmetrical perturbations of the ...
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