Results 11 to 20 of about 108,153 (267)
Convolutional Neural Networks Refitting by Bootstrapping for Tracking People in a Mobile Robot
Convolutional Neural Networks are usually fitted with manually labelled data. The labelling process is very time-consuming since large datasets are required.
Claudia Álvarez-Aparicio +5 more
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Douven, Igor, Kelp, Christoph
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Municipal solid waste landfills are major contributors to anthropogenic emissions of methane (CH4), which is the major component of natural gas, a potent greenhouse gas, and a precursor for the formation of tropospheric ozone.
Tian Xia +4 more
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The Bootstrapping Service [PDF]
We outline a lightweight architecture to support novel application scenarios for P2P systems. These scenarios include merging and splitting of large networks, or multiplexing relatively short-lived applications over a pool of shared resources. In such scenarios, the architecture needs to be quickly and efficiently (re)generated frequently, often from ...
Márk Jelasity +2 more
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Uncertainty assessment for the Bayesian updating process of concrete strength properties
Reassessment of infrastructure buildings has become an essential approach to deal with increasing traffic loads on ageing infrastructure buildings and to verify the service-life of those structures.
Matthias Haslbeck +3 more
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The main purpose of this study is to examine themediating and indirect effects of ethical perception in tax service on tax compliance behaviour. The study used cross-sectional survey design to collect primary data from individual taxpayers in the ...
Swee Kiow Tan +2 more
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Mediating Role of Empathy in the Relationship between Emotional Intelligence and Thinking Styles
The aim of the study is to examine the mediating role of empathy in the relationship between rational and experiential thinking styles and was designed in a correlational design.
Hamdi KORKMAN, Esra TEKEL
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The Stationary Bootstrap [PDF]
Abstract This article introduces a resampling procedure called the stationary bootstrap as a means of calculating standard errors of estimators and constructing confidence regions for parameters based on weakly dependent stationary observations. Previously, a technique based on resampling blocks of consecutive observations was introduced to construct ...
Politis, Dimitris Nicolas +3 more
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From global monitoring to regional forest management there is an increasing demand for information about forest ecosystems. For border regions that are closely connected ecologically and economically, a key factor is the cross-border availability and ...
Sascha Nink +5 more
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One-Pass In-Band Automatic Bootstrapping for OpenFlow Switches
An SDN switch newly added to a network needs to establish a control channel with an SDN controller to manage control-plane traffic. The setup of such a channel is termed bootstrapping.
Chien-Yung Li +3 more
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