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Significados de dimensional data em inglês
Ainda não temos significados para "dimensional data".
Uso de dimensional data em inglês
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These methods exploit structure in higher dimensionaldata arrays called tensors.
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However, in the context of high- dimensionaldata the application of CCA is extremely challenging.
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Nonparametric methods have generated intense interest because of their capacity to handle high- dimensionaldata.
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Main outcome measures: Tumor size was measured by use of two- dimensionaldata in all patients.
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Integrated analysis of high- dimensionaldata can thus unravel immune alterations predisposing to complex inflammatory diseases.
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In this applications note, we introduce spathial, an R package for navigating high- dimensionaldata spaces.
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The focus of our work is on class prediction based on high- dimensionaldata (e.g.
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A Selspot II System was used for three- dimensionaldata acquisition, processing and reconstruction of limb trajectories.
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We discuss some of the analytical approaches applied to extract biological knowledge from high- dimensionaldata sets.
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Conventional analytic approaches struggle with high- dimensionaldata, leading to high likelihoods of both false-positive and false-negative inferences.
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Hierarchical cluster analysis allows visualization of high dimensionaldata and enables pattern recognition and identification of physiologic patient states.
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The method transforms multidimensional gene expression patterns into two dimensionaldata landscapes, which resemble the metaphoric Waddington epigenetic landscape.
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In conclusion, this paper describes the pathobiology of lung diseases from systems viewpoint using pathway centered high- dimensionaldata mining approach.
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Data-driven approaches apply machine-learning methods to high- dimensionaldata to improve classification of disease, predict treatment outcomes or improve treatment selection.
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Each hold he touches measures split times and the drones tracking him provide three dimensionaldata relayed to his coach.
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However, existing PU classification methods typically require an accurate estimate of the class-prior probability, a critical bottleneck particularly for high- dimensionaldata.