نتایج جستجو برای: class wofe offers better representation of data distributions
تعداد نتایج: 21363999 فیلتر نتایج به سال:
the purpose of this two-phase, sequential mixed methods study was to find out whether there were any decencies between male and female ma students’ theses regarding the common features of academic writing such as syntactic complexity, means of integrating cited information, and organizing arguments. i chose 10 male written theses and 15 female written theses in tefl and linguistics. in the firs...
the primary goal of the current project was to examine the effect of three different treatments, namely, models with explicit instruction, models with implicit instruction, and models alone on differences between the three groups of subjects in the use of the elements of argument structures in terms of toulmins (2003) model (i.e., claim, data, counterargument claim, counterargument data, rebutt...
Despite the success of deep learning models, it remains challenging for over-parameterized model to learn good representation under small-sample-size settings. In this paper, motivated by previous work on out-of-distribution (OoD) generalization, we study problem from an OoD perspective identify fundamental factors affecting quality. We formulate a notion “out-of-feature subspace (OoFS) noise” ...
the subjects of the study are only the tefl teachers and students at gilan university. to obtain the desired data, a questionnaire which was based on the theories and disecussions gathered, was used as the main data gathering instrument. to determine the degree of relationship between variables, covariance and pearson product moment correlation coefficient were the formulas applied. the data we...
In this study the nature of transition to metallic regime in trans-polyacetylene (trans-PA) is investigated. Based on Su-Schrieffer-Heeger (SSH) model and the use of Continued - Fraction Representation (CFR) as well as Lanczos algorithm procedure, we studied the effects of some selected soliton distributions on the semiconductor-to-metal transition in trans-PA.We found that,this transition occ...
منطقه پرنگ در شرق ایران و در زون فلیش یا زون نهبندان– خاش قرار می گیرد. مجموعه های افیولیتی و افیولیت ملانژی در این منطقه و دیگر مناطق شرق کشور، محیط مناسبی برای اکتشاف و دستیابی به ذخایر احتمالی ماسیو سولفید نوع قبرس می باشد. با در نظر گرفتن مدل ژنتیکی تشکیل این کانسار ها، در کمربند های افیولیتی بهم ریخته و ملانژ های تکتونیکی، اکتشاف آنها بسیار پیچیده می باشد. در این میان استفاده از سیستم اط...
Daily deals platforms such as Amazon Local, Google Offers, GroupOn, and LivingSocial have provided a new channel for merchants to directly market to consumers. In order to maximize consumer acquisition and retention, these platforms would like to offer deals that give good value to users. Currently, selecting such deals is done manually; however, the large number of submarkets and localities ne...
abstract this study tried to investigate whether there was any significant relationship between technical translation quality of the senior english translation students and their levels of verbal-linguistic, visual-spatial and interpersonal intelligences. in order to investigate the research questions, the researcher selected a hundred senior english translation students from three universitie...
abstract in recent years, many researchers have attempted to estimate the soil hydraulic functions (e.g. soil moisture characteristics curve, and hydraulic conductivity function) using particle-size distribution (psd) curve. in these studies, an accurate mathematical representation of psd is required for fitting the observed data. so far, some mathematical models were developed with different l...
Machine learning methods that have been used in data-driven predictive modeling of mineral prospectivity (e.g., artificial neural networks) invariably require large number of training prospect/locations and are unable to handle missing values in certain evidential data. The Random Forests (RF) algorithm, which is a machine learning method, has recently been applied to data-driven predictive map...
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