Results 11 to 20 of about 15,054,030 (290)
Efficient flexible characterization of quantum processors with nested error models
We present a simple and powerful technique for finding a good error model for a quantum processor. The technique iteratively tests a nested sequence of models against data obtained from the processor, and keeps track of the best-fit model and its ...
Erik Nielsen +4 more
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Chinese Nested Named Entity Recognition Algorithm Based on Segmentation Attention andBoundary-aware [PDF]
Chinese nested named entity recognition(CNNER) is a challenging task due to the absence of natural delimiters in Chinese and the complexity of the nested structure.In this paper,we propose a novel boundary-aware layered neural model(BLNM) with ...
ZHANG Rujia, DAI Lu, GUO Peng, WANG Bang
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Increasing cluster size asymptotics for nested error regression models [PDF]
15 ...
Lyu, Ziyang, Welsh, Alan
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Metamaterial Design with Nested-CNN and Prediction Improvement with Imputation
Metamaterials, which are not found in nature, are used to increase the performance of antennas with their extraordinary electromagnetic properties.
Erkan Kıymık, Ergun Erçelebi
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Heteroscedastic nested error regression models with variance functions [PDF]
The nested error regression model is a useful tool for analyzing clustered (grouped) data, and is especially used in small area estimation. The classical nested error regression model assumes normality of random effects and error terms, and homoscedastic variances.
Shonosuke Sugasawa, Tatsuya Kubokawa
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Nested Named Entity Recognition via an Independent-Layered Pretrained Model
When an entity contains one or more entities, these particular entities are referred to as nested entities. The Layered BiLSTM-CRF model can use multiple BiLSTM layers to identify nested entities. However, as the number of layers increases, the number of
Liruizhi Jia +4 more
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Simultaneous estimation under nested error regression model
Zhang (2003) proposed a frequentist method of simultaneous small area estimation under hierarchical models. This can be useful when various ensemble characteristics of the small area parameters are of interest in addition to area-specific prediction.
Zhang, Li-Chun
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Hybrid Look-Up-Tables Based Behavioral Model for Dynamic Nonlinear Power Amplifiers
A new look-up table based behavioral model for dynamic nonlinear power amplifiers is proposed. This model labelled as hybrid look-up tables model is based on the combination of a memoryless look-up table sub-model and a nested look-up tables one.
Ahmad I. Dalbah +2 more
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This paper proposes a Bayesian RC-frame finite element model updating (FEMU) and damage state estimation approach using the nonlinear acceleration time history based on nested sampling.
Kunyang Wang +2 more
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Error report for Joel et al. (2017)
Joel, Eastwick, & Finkel (2017) "Is Romantic Desire Predictable? Machine Learning Applied to Initial Romantic Attraction" was determined to contain Minor Errors that do not affect the core conclusions of the manuscript.
ERROR
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