نتایج جستجو برای: data splitting
تعداد نتایج: 2439713 فیلتر نتایج به سال:
Data Two data sets were tested : the first one consisted of older normal mode splitting measurements (1, 2) (with 15 degree two and 7 degree four structure coefficients), and the second one consisted of the most recent splitting measurements that followed the great Bolivia and Kuril Islands earthquakes in 1994 (3–5) (with 22 degree two and 16 degree four data). The choice of data set one was ba...
this paper aims to evaluate inventory cost of a two-echelon serial supply chain system under vendor managed inventory program with stochastic demand, and examine the effect of environmental factors on the cost of overall system. for this purpose, we consider a two-echelon serial supply chain with a manufacturer and a retailer. under vendor managed inventory program, the decision on inventory le...
the famous primary and cyclic decomposition theorems along with the tightly related rational and jordan canonical forms are extended to linear spaces of infinite dimensions with counterexamples showing the scope of extensions.
Many systems of equations fit naturally in the form du/dt = A(u) + B(u). We may separate convection from diffusion, x-derivatives from y-derivatives, and (especially) linear from nonlinear. We alternate between integrating operators for dv/dt = A(v) and dw/dt = B(w). Noncommutativity (in the simplest case, of eAh and eBh) introduces a splitting error which persists even in the steady state. Sec...
Decision tree (DT) induction is among the more popular of the data mining techniques. An important component of DT induction algorithms is the splitting method, with the most commonly used method being based on the conditional entropy family. However, it is well known that there is no single splitting method that will give the best performance for all problem instances. In this paper we explore...
It is well known that the expectation-maximization (EM) algorithm, commonly used to estimate hidden Markov model (HMM) parameters for speech recognition, is sensitive to the initial model parameter values, making appropriate parameter initialization important. We investigate the use of iterative Gaussian splitting and EM training to initialize the desired number of Gaussians per HMM state (or s...
We consider three-loop radiative-recoil corrections to hyperfine splitting in muonium generated by the diagrams with electron and muon vacuum polarizations. We calculate single-logarithmic and nonlogarithmic contributions of order alpha;{3}(m/M)E_{F} generated by gauge invariant sets of diagrams with electron and muon polarization insertions in the electron and muon factors. Combining these cor...
In this paper, a new splitting criterion to build a decision tree is proposed. Splitting criterion specifies the best splitting variable and its threshold for further splitting in a tree. Giving the idea from classical Forward Selection method and its enhanced versions, the variable having the largest absolute correlation with the target value is chosen as the best splitting variable in each no...
[1] In this study, we utilize data from broadband seismic stations of the Japanese F-net network to investigate anisotropic structure in the lowermost mantle beneath the northwestern Pacific. The comparison of shear wave splitting from phases that have similar paths in the upper mantle but different paths in the lowermost mantle, such as PcS/ScS or SKS/SKKS, can yield constraints on anisotropy ...
While the persistent data of many advanced database applications, such as OLAP and scientific studies, are characterized by very high dimensionality, typical queries posed on these data appeal to a small number of relevant dimensions. Unfortunately, the multidimensional access methods designed for highdimensional data perform rather poorly for these partially specified queries. A potentially ve...
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