نتایج جستجو برای: el hames method

تعداد نتایج: 1909564  

2012
Andreas Ecke Anni-Yasmin Turhan

For EL the least common subsumer (lcs) need not exist, if computed w.r.t. general TBoxes. In case the role-depth of the lcs concept description is bounded, an approximate solution can be obtained. In this paper we extend the completion-based method for computing such approximate solutions to ELI and EL+. For ELI the extension needs to be able to treat complex node labels. For EL+ a naive method...

2018
Andreas Weber Hans-Jörg Bart

Method: The presented EL method uses the open access software OpenFOAM to solve bubble dynamics with bubble interactions computed via Monte Carlo methods. The estimated bubble size distribution and the predicted hold-up are compared with experimental data and other simulative EE work with a reasonable consensus for both. Benchmarks with state of the art EE simulations shows that the EL approach...

Journal: :نشریه دانشکده فنی 0
کیانوش کریمی رضا عطارنژاد

in this paper, time-domain dynamic analysis of dam - infinite reservoir is studied. a numerical method, discrete singular convolution (dsc), which seems to be efficient and simple, has been used to model the mixed boundary conditions. after a brief introduction, dsc is applied to model the equation of motion of fluid-structure with constant cross section subjected to el-centro (1940) earthquake...

2007
Jilian Zhang Shichao Zhang Xiaofeng Zhu Xindong Wu Chengqi Zhang

In this paper, we propose an empirical likelihood (EL) based strategy for building confidence intervals for differences between two contrasting groups. The proposed method can deal with the situations when we know little prior knowledge about the two groups, which are referred to as non-parametric situations. We experimentally evaluate our method on UCI datasets and observe that proposed EL bas...

2016
Kathleen F. Nagle James T. Heaton

Producing speech with natural prosodic patterns is an ongoing challenge for users of electrolaryngeal (EL) speech. This study describes speech produced using a method currently in development, wherein a prosodic pattern is derived from skin surface electromyographical (sEMG) signals recorded from under the chin (submental surface). Eight laryngectomees who currently use a TruTone EL as their pr...

2004
Barrett C. Wilson Douglass F. Jacobs

This paper describes the use of electrolyte leakage (EL) from stem tissue as a potential method for assessing cold hardiness of hardwood seedlings. The EL method has seen little use with North American hardwoods, but has successfully predicted conifer hardiness in both controlled and operational settings and has been used experimentally on hardwoods in Europe. Three species of hardwoods—norther...

2003
James L. McQueen

2. COOK, M. K., ANDREWS, B. E., I?ox, H. H., TURNER, H. C., HAMES, W. D., and CHANOCK, R. M., Am. J. Hyg. 69, 250-264 (1959). 3. ROTT, R., REDA, I. M., and SCHAFER, W., Z. Naturforsck. 18b, 188-194 (1963). 4. SCHHFER, W., Ciba Found. Svmp. Nature Viruses 91-103 (1957). 5. SCH;~FER, W., AND ROTT, R., 2. Naturforsck. 14b, 629-631 (1959). 6. ROTT, R., Habilitation thesis. Giessen (1962). 7. HORNE,...

2007
F. P.-A. Cortat S. J. Miklavcic

The Rayleigh–Ritz (rr) method is well known as a means of minimizing energy functionals. Despite this, the technique most often employed in practice for minimizing a functional is the numerical solution of the Euler–Lagrange (el) equations derived from the energy functional by variational minimization. In this article we employ the rr method specifically to determine the equilibrium shape of a ...

2008
ZHENGYUAN GAO

In this paper, a mixture model is estimated by the empirical likelihood (EL) approach. The functional delta method is implemented to exploit asymptotic properties of the estimator. EL constructs a weighted empirical process that converges to a Gaussian process and its estimator, with additional assumptions, converges a normal distribution with an asymptotic efficient covariance matrix. This app...

Journal: :IJDWM 2010
Yongsong Qin Shichao Zhang Chengqi Zhang

The k-nearest neighbor (kNN) imputation, as one of the most important research topics in incomplete data discovery, has been developed with great successes on industrial data. However, it is difficult to obtain a mathematical valid and simple procedure to construct confidence intervals for evaluating the imputed data. This chapter studies a new estimation for missing (or incomplete) data that i...

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