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In contrast to such truly distributed estimation, collaborative estimation is considered in [25], where the network is divided into a set of sensor clusters, with collaboration allowed among sensors within the same cluster, but not across clusters.
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A carefully designed collaborative study enables estimation of a variety of gene expression measurement precision metrics: repeatability, several flavors of intermediate precision, and reproducibility.
The minimization of energy consumption for a sensor network with target activities is complicated since target estimation involves collaborative sensing and communication between different nodes.
Simulation examples demonstrate the estimation effectiveness and energy efficiency of the proposed distributed collaborative target tracking framework.
Low-rank matrix estimation plays a key role in many scientific and engineering tasks, including collaborative filtering and image denoising.
The proposed approach, based on the most advanced natural language processing techniques, aims to provide a qualitative estimation of the learning process that considers both the individual and the collaborative aspects of learning.
In practice, the proposed collaborative design process will permit to develop an online recommendation system for garment size selection and fit estimation.
The goal of this collaborative effort is to use a weight-of-evidence (WOE) approach to estimate joint toxicity of some simple chemical mixtures and to compare the estimations with test results from animal toxicity studies.
In this paper we focus on collaborative multi-agent systems, where agents are distributed over a region of interest and collaborate to achieve a common estimation goal.
Rather than imposing a static temporal framework, collaborative place models learn the quantitative relationship between week-hours by inferring similarities across all users, relying on Bayesian estimation techniques to do so.
Collaborative creativity?
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