نتایج جستجو برای: structural learning
تعداد نتایج: 981792 فیلتر نتایج به سال:
The aim of this study is investing of the affecting factors on organizational learning readiness on national petrochemical co. staff. The results of this research is using implement in training processes. E-learning is a special type of distance learning that relies on network-based technologies and using transmission media such as the Internet or intranet and also multimedia tools, in an inter...
The purpose of this study was to investigate the role of team leadership on team performance mediated by team learning. The study population was all secondary school teachers in Kurdistan province, from which a sample of 346 teachers was selected by proportional stratified random sampling method based on Cochran's formula. Quantitative research method is correlation studies and covariance-based...
the purpose of this study was to investigate iranian efl learners’ beliefs about the role of rote learning (rl) in vocabulary learning strategies; besides, the study examined if english proficiency would influence learners’ vocabulary learning strategy use. this study addresses the need for a clear understanding of the role of rl in efl vocabulary learning by looking at iranian efl learners’ ow...
development of innovation and organizational learning in order to gain a sustainable competitive advantage and improve organizational performance needs appropriate circumstances under which management leadership styles remain an important factor. therefore, this study aimed to analyze the impact of leadership styles on organizational performance through innovation and learning that was conducte...
We study links and diierences between structural risk minimization and bayesian learning. We try to nd which a priori is made in each of the following algorithms, showed equivalent to a Bayesian approach: SVMs, backpropagation, RBF, 1-NN. Finally, we propose new versions of Bayes Point Machines .
Metric learning algorithms produce a linear transformation of data which is optimized for a prediction task, such as nearest-neighbor classification or ranking. However, when the input data contains a large portion of noninformative features, existing methods fail to identify the relevant features, and performance degrades accordingly. In this paper, we present an efficient and robust structura...
Background: This study aimed at investigating the structural relationship between intellectual capital, psychological empowerment, and organizational learning with staff performance of Tehran University of Medical Sciences in the form of a causal model. Materials and Methods: The research method was correlational type. Data gathering was performed using four major scales including Benitez int...
Purpose: The purpose of present study was to investigate the mediating role of self-Regulated Learning in Relationship between academic counseling quality and educational-Vocational Undecidedness in Students of High Schools. Methods: This study was a correlational research that carried out using structural equation analysis. The population of the present study included all students of high sch...
This research aims to identify the facilitating factors of learning transfer in NIGC, using a mixed research method. In the qualitative phase, 16 experts of NIGC and university faculty members were selected as the research sample. In the qualitative phase, survey research method was applied and a sample of 376 subjects was selected based on Cochran formula. In order to analyze the qualitative d...
We study the problem of learning ensembles in the online setting, when the hypotheses are selected out of a base family that may be a union of possibly very complex sub-families. We prove new theoretical guarantees for the online learning of such ensembles in terms of the sequential Rademacher complexities of these sub-families. We also describe an algorithm that benefits from such guarantees. ...
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