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8.268  Articles
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Low-rank matrix factorizations such as Principal Component Analysis (PCA), Singular Value Decomposition (SVD) and Non-negative Matrix Factorization (NMF) are a large class of methods for pursuing the low-rank approximation of a given data matrix. The conv... see more

The study considers the possibilities of using latent semantic analysis for the tasks of identifying scientific subject spaces and evaluating the completeness of covering the results of dissertation research by science degree seekers.A probabilistic thema... see more

Nurse’s scheduling in hospitals becomes a complex problem, and it takes time in its making process. There are a lot of limitation and rules that have to be considered in the making process of nurse’s schedule making, so it can fulfill the need of nurse’s ... see more

A major challenge in 3D reconstruction is the computation of the fundamental matrix. Automatic computation from uncalibrated image pairs is performed from point correspondences. Due to imprecision and wrong correspondences, only an approximation of the tr... see more

Establishing an effective long-term maintenance plan is essential to ensure the sustainability of a building. Among the various components of a building, the mechanical, electrical, and plumbing (MEP) components are complexly affected by various parameter... see more

We consider several probabilistic processes defining a random graph. One of these processes appeared recently in connection with a factorization problem in the symmetric group. For each process, we prove that the probability for the random graph to b... see more

We use a deposition model in order to simulate the grow of rare gases crystals doped with tungsten hexacarbonyl as impurity. The simulations were carried out using Classical Molecular Dynamics, applying quantum corrections to improve the interactions betw... see more

There are considered single-parameter output models of tool wear evaluation, grounded on abrasion, adhesion, and diffusion phenomena. A mathematical framework of removing such three-model uncertainty, using the multi-lap-measurement-approximated probabili... see more

Revised versionThe task of dialog management is commonly decomposed into two sequential subtasks: dialog state tracking and dialog policy learning. In an end-to-end dialog system, the aim of dialog state tracking is to accurately estimate the tr... see more

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