نتایج جستجو برای: ensemble strategy
تعداد نتایج: 383926 فیلتر نتایج به سال:
In harbour areas, the irrational layout and high density of mariculture cages can lead to a dramatic deterioration culture’s ecology. Therefore, it is important analyze regulate distribution using intelligent analysis based on deep learning. We propose remote sensing image segmentation method Swin Transformer ensemble learning strategy. Firstly, we collect multiple images annotate them, while d...
abstract this study aimed at investigating the impact of etymology strategy instruction on the development of vocabulary of iranian intermediate efl learners. etymology, knowledge of origin of words, roots, and affixes, has proved to be a controversial issue and a question of long debate with regard to its impact on the process of vocabulary learning. this study employed etymology strategy in ...
A sequential estimator based on the Ensemble Kalman Filter for Data Assimilation of fluid flows is presented in this research work. The main feature that filter update, which relies determination gain, performed exploiting algorithmic features numerical solver employed as a model. More precisely, multilevel resolution associated with multigrid iterative approach time advancement used to generat...
چکیده: هدف اصلی این مطالعه ی توصیفی تحقیقی در حقیقت تلاشی پساروش-گرا به منظور رسیدن به نتیجه ای منطقی در انتخاب مناسبترین راهکار آموزشی بر گرفته از چارچوب راهبردی مطرح شده توسط والدمر مارتن بوده که به بهترین شکل سازگار و مناسب با سامانه ی آموزشی ایران باشد. از این رو، دو راهکار آموزشی، راهکار ارتباطی و راهکار بازساختی، برای تحقیق و بررسی انتخاب شدند. صریحاً اینکه، در راستای هدف اصلی این پژوهش، ر...
The visual system can only accurately represent a handful of objects at once. How do we cope with this severe capacity limitation? One possibility is to use selective attention to process only the most relevant incoming information. A complementary strategy is to represent sets of objects as a group or ensemble (e.g. represent the average size of items). Recent studies have established that the...
This paper presents a novel framework for the unsupervised alignment of an ensemble of temporal sequences. This approach draws inspiration from the axiom that an ensemble of temporal signals stemming from the same source/class should have lower rank when “aligned” rather than “misaligned”. Our approach shares similarities with recent state of the art methods for unsupervised images ensemble ali...
An ensemble clustering has been considered as one of the research approaches in data mining, pattern recognition, machine learning and artificial intelligence over the last decade. In clustering, the combination first produces several bases clustering, and then, for their aggregation, a function is used to create a final cluster that is as similar as possible to all the cluster bundles. The inp...
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