نتایج جستجو برای: data bases quary optimization
تعداد نتایج: 2714340 فیلتر نتایج به سال:
Local discriminant bases method is a powerful algorithmic framework for feature extraction and classification applications that is based on supervised training. It is considerably faster compared to more theoretically ideal feature extraction methods such as principal component analysis or projection pursuit. In this paper an optimization block is added to original local discriminant bases algo...
the aim of this study was to examine the relationship between coaches' bases of power and athletes’ satisfaction in female handball players of iran pro league. the study used a descriptive – correlation approach and was carried out as a field study. the population of the study consisted of all female handball players in iran pro league; statistical sample consisted of 115 handball players....
Adopting the blackboard architecture from the area of Arti cial Intelligence, a novel kind of optimizer enabling two desirable ideas will be proposed. Firstly, using such a well-structured approach backpropagation of the optimized queries allows an evolutionary improvement of (crucial) parts of the optimizer. Secondly, the A search strategy can be applied to harmonize two contrary properties: A...
We have ported the SIMD Parka knowledge representation system to generic MIMD machines. The system has been recoded in C and supported using runtime optimization packages developed in the High Performance Systems Software Laboratory at the University of Maryland. New \scanning" algorithms have been developed for inheritance and recognition inferences. These algorithms have been tested with both...
We propose new algorithms for the setup phase of algebraic multigrid (AMG) solvers for linear systems coming from edge element discretization. The construction of coarse levels is performed by solving an optimization problem with a Lagrange multiplier method: we minimize the energy of coarse bases under a constraint linking coarse nodal and edge element bases. On structured meshes, the resultin...
This paper proposes a new compression algorithm based on multi-scale learned bases. We first explain the construction of a set of image bases using a bintree segmentation and the optimization procedure used to select the image basis from this set. We then present the sparse orthonormal transforms introduced by Sezer et al. and propose some extensions tending to improve the convergence of the le...
In this paper we present a new methodology for solving multiobjective integer linear programs using tools from algebraic geometry. We introduce the concept of partial Gröbner basis for a family of multiobjective programs where the right-hand side varies. This new structure extends the notion of Gröbner basis for the single objective case, to the case of multiple objectives, i.e., a partial orde...
Many declarative query languages for object-oriented (oo) databases allow nested subqueries. This paper contains a complete classiication of oo nested queries and appropriate unnesting optimization strategies based on algebraic rewriting. We adapt some known relational techniques and introduce new ones that use and are concerned with features speciic to object-oriented queries. In particular, w...
BACKGROUND The development of new wireless communication technologies that emit radio frequency electromagnetic fields (RF-EMF) is ongoing, but little is known about the RF-EMF exposure distribution in the general population. Previous attempts to measure personal exposure to RF-EMF have used different measurement protocols and analysis methods making comparisons between exposure situations acro...
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