نتایج جستجو برای: weight update
تعداد نتایج: 417945 فیلتر نتایج به سال:
Numerous combinations of diets and pharmacological agents, including lifestyle changes, have been launched to treat obesity. There are still ambiguities regarding the efficacies different approaches despite many clinical trials use animal models study physiological mechanisms in weight management obesity comorbidities, Here, we present an update on promising aids. Literature published after yea...
The robust recursive identification method of ARX models is proposed using the beta divergence. parameter update law suppresses effect outliers a weight function that automatically determined by minimizing A numerical example illustrates efficacy method.
Wenbo Zong STMicroelectronics Asia Pacific Singapore Large-scale wargame simulations may involve tens of thousands of entities and generally run on distributed simulation nodes. An important issue in constructing these applications is to reduce the amount of data transmitted among the distributed simulation nodes so that the network and the simulation nodes will not be flooded by the state upda...
In this paper, we propose a learning method that updates a synaptic weight in probability which is proportional to an output error. Proposed method can reduce computational complexity of learning and at the same time, it can improve the classification ability. We point out that an example produces small output error does not contribute to update of a synaptic weight. As learning progresses, the...
Childhood overweight remains an unrelenting public health challenge that shows few signs of abating [1-4], despite considerable efforts to identify risk factors for this condition and to carry out suitable related strategies. As outlined in some recent research [5], parents, who have great influence over the child’s well-being may be implicated in this regard [6]. In particular, parents who rep...
A well-known theorem of Spencer shows that any set system with n sets over n elements admits a coloring of discrepancy O( √ n). While the original proof was non-constructive, recent progress brought polynomial time algorithms by Bansal, Lovett and Meka, and Rothvoss. All those algorithms are randomized, even though Bansal’s algorithm admitted a complicated derandomization. We propose an elegant...
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