نتایج جستجو برای: physico structural dimension

تعداد نتایج: 514313  

2016
Aidé Gaona José María Moreno Alexandra Velty Urbano Díaz Avelino Corma

Layered hybrid materials (LHMs) based on ordered silicoaluminate sheets linked with organic fragments, perpendicularly located and stabilized in the interlayer space, were synthesized by one-pot direct hydrothermal process, in absence of structural directing agents (SDAs), and using bridged silsesquioxanes as organosilicon precursors. By following the synthesis described here, the preliminary p...

Journal: :نظریه تقریب و کاربرد های آن 0
m. ansari department of mathematics, islamic azad university, gachsaran branch, gachsaran, iran. e. hosseini department of mathematics, islamic azad university, gachsaran branch, gachsaran, iran.

let r be a commutative noetherian ring. we study the behavior of injectiveand at dimension of r-modules under the functors homr(-,-) and -×r-.

2003
Jinbo Bi Vladimir Vapnik

We examine the so-called rigorous support vector machine (RSVM) approach proposed by Vapnik (1998). The formulation of RSVM is derived by explicitly implementing the structural risk minimization principle with a parameter H used to directly control the VC dimension of the set of separating hyperplanes. By optimizing the dual problem, RSVM finds the optimal separating hyperplane from a set of fu...

Journal: :Electr. Notes Theor. Comput. Sci. 2008
Ho-Kwok Dai Kyu-Young Whang Hung-Chi Su

The geometric structural complexity of spatial objects does not render an intuitive distance metric on the data space that measures spatial proximity. However, such a metric provides a formal basis for analytical work in transformation-based multidimensional spatial access methods, including locality preservation of the underlying transformation and distance-based spatial queries. We study the ...

2012
Olcay Taner Yildiz

In this paper, we give and prove lower bounds of the VC-dimension of the univariate decision tree hypothesis class. The VC-dimension of the univariate decision tree depends on the VC-dimension values of its subtrees and the number of inputs. In our previous work (Aslan et al., 2009), we proposed a search algorithm that calculates the VC-dimension of univariate decision trees exhaustively. Using...

Journal: :Applied Mathematics and Computation 2006
Giorgio Corani Marino Gatto

The problem of distinguishing density-independent (DI) from density-dependent (DD) demographic time series is important for understanding the mechanisms that regulate populations of animals and plants. We address this problem in a novel way by means of Statistical Learning Theory. First, we estimate the VC-dimensions of the best known nonlinear ecological models through the methodology proposed...

2016
F. Caillaud V. Vidal F. Dupont G. Lavoué

To validate our edge selection strategy, we present here the rate distortion curves obtained using different edge selection metrics: Hausdorff distance wgc, texture seam deviation wt and the combination that we propose wgc + wt . We use the multiscale SSIM metric presented in the paper to evaluate the quality of the obtained levels of detail (the texture map is kept in its highest resolution fo...

Journal: :Journal of Machine Learning Research 2005
Clayton D. Scott Robert D. Nowak

Given a probability measure P and a reference measure μ, one is often interested in the minimum μ-measure set with P -measure at least α. Minimum volume sets of this type summarize the regions of greatest probability mass of P , and are useful for detecting anomalies and constructing confidence regions. This paper addresses the problem of estimating minimum volume sets based on independent samp...

Journal: :Int. J. Applied Earth Observation and Geoinformation 2014
Sofia G. Plexida Athanassios I. Sfougaris Ioannis P. Ispikoudis Vasilios P. Papanastasis

This paper investigates the spatial heterogeneity of three landscapes along an altitudinal gradient and different human land use. The main aim was the identification of appropriate landscape indicators using different extents. ASTER image was used to create a land cover map consisting of three landscapes which differed in altitude and land use. A number of landscape metrics quantifying patch co...

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