نتایج جستجو برای: intra specific classification
تعداد نتایج: 1567793 فیلتر نتایج به سال:
according to the literature, economic liberalization is an important factor affecting the intra industry trade (iit). present paper is trying to examine the positive effect of economic liberalization on iran’s iit as well as to review the effectiveness of important components of economic liberalization including privatization, trade liberalization, exchange rate liberalization and financial lib...
The goal of the Object Classification is to classify the objects in images. Classification aims for the recognition of generic classes, which is also known as Generic Object Recognition. This is quite different from Specific Object Recognition, such as recognizing specific person, own car, and etc. Human beings are generally better in recognizing generic classes than specific objects. Classific...
In this work, we provide a Machine Learning framework for augmenting the Differentiated Services (DiffServ) protocol with fine-grained dynamic traffic classification. The is called L-DiffServ. It composed of two classification algorithms able to detect QoS classes incoming packets only looking at three packet header fields; first algorithm, referred as Inter-L-DiffServ, semi-supervised procedur...
abstract improving nitrogen use efficiency (nue) is an important objective of the agroecosystem management. a field experiment was conducted to study the effect of different competition patterns on nitrogen balance in the wheat agroecosystem. experimental design was split–plot based on randomized complete blocks with four replications. the main plots consisted of different nitrogen rates (i.e. ...
Multi-label classification has gained significant attention during recent years, due to the increasing number of modern applications associated with multi-label data. Despite its short life, different approaches have been presented to solve the task of multi-label classification. LIFT is a multi-label classifier which utilizes a new strategy to multi-label learning by leveraging label-specific ...
The majority of works using brain connectomics for dementia diagnosis heavily relied on using structural (diffusion MRI) and functional brain connectivity (functional MRI). However, how early dementia affects the morphology of the cortical surface remains poorly understood. In this paper, we first introduce multi-view morphological brain network architecture which stacks multiple networks, each...
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