â â â  â â â â â â  â  abstract â  based on the recent literature of heterogeneous firms, productive firms self select themselves into foreign markets. in this framework, there is a productivity rise prior to exporting. on the other words, different export performance across firms is linked to their heterogeneity. â  the main purpose of the present paper is to examine the so-called hypothesis o...

in this paper the problem of 3d scene and object classification from depth data is addressed. in contrast to high-dimensional feature-based representation, the depth data is described in a low dimensional space. in order to remedy the curse of dimensionality problem, the depth data is described by a sparse model over a learned dictionary. exploiting the algorithmic information theory, a new def...

in this paper, first, an initial feature vector for vocal fold pathology diagnosis is proposed. then, for optimizing the initial feature vector, a genetic algorithm is proposed. some experiments are carried out for evaluating and comparing the classification accuracies which are obtained by the use of the different classifiers (ensemble of decision tree, discriminant analysis and k-nearest neig...

We have investigated the effect of F12 geminals on basis set convergence harmonic frequencies calculated using two representative double-hybrid density functionals, namely B2GP-PLYP and revDSD-PBEP86-D4. Like previously found for energetics [N. Mehta J. M. L. Martin, \textit{J. Chem. Theor. Comput.} \textbf{18}, 5978--5991 (2022)] one sees an acceleration by zeta steps, such that even cc-pVDZ-F...

This paper presents Association Coefficient Measures for Document Clustering. The proposed Association Coefficient Measures approach is based on Intuitionistic Fuzzy Sets. In this paper twelve Association Coefficient Measures from f1 to f12 are used. In Document Clustering Document collection, Text Pre-processing, Feature Selection, Indexing, Clustering Process and Results Analysis steps are us...