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101.
《Mobilities》2013,8(4):467-486
AbstractMobility is often portrayed as the antithesis of belonging. In this article, we challenge this perspective investigating how mobility and motility influence belonging in everyday life. We develop a perspective on belonging consisting of the dimensions of mobility, people and place and conditioned by the underlying dimensions of time, resources and structures of meaning. Applying this to interview material from a case study in Aalborg, we propose a tentative typology of mobile forms of belonging. It is discussed how different rhythms, conditions of mobility and variations in mobility resources result in different scales of belonging and modes of ‘centering’. 相似文献
102.
In this paper, we predict that venture capital (VC) backed initial public offerings (IPOs) will attract more attention than non-VC-backed IPOs, as VCs offer important signals to investors searching for information about entrepreneurial firms. We use a measure developed by Google (i.e., Trends) to capture the spikes in investors' attention experienced by firms in the time period surrounding their IPOs. Our results demonstrate that firms backed by VCs enjoy a far greater spike in attention than their counterparts. Furthermore, we find that firms with more prominent VCs, a larger number of VCs, and VCs situated at farther geographic distances exhibit significantly greater spikes in investors’ attention during the week of their IPO. Combined, the findings show a clear demarcation between entrepreneurial firms with or without VC backing, they bring to the fore new upshots stemming from the relationship between VCs and entrepreneurial firms, and they raise new potential questions on this relationship and beyond. 相似文献
103.
本文创新地将半监督交互式关键词提取算法词频-逆向文件频率( Term Frequency- Inverse Document Frequency, TF-IDF )与基于 Transformer 的 双 向 编 码 表 征 ( Bidirectional Encoder Representation from Transformers,BERT)模型相结合,设计出一种扩展CPI预测种子关键词的文本挖掘技术。采用交互式TF-IDF算法,对原始CPI预测种子关键词汇广度上进行扩展,在此基础上通过BERT“两段式”检索过滤模型深入挖掘文本信息并匹配关键词,实现CPI预测关键词深度上的扩展,从而构建了CPI预测的关键词库。在此基础上,本文进一步对文本挖掘技术特征扩展前后的关键词建立预测模型进行对比分析。研究表明,相比于传统的关键词提取算法,交互式TF-IDF算法不仅无需借助语料库,而且还允许种子词的输入。同时,BERT模型通过迁移学习的方式对基础模型进行微调,学习特定领域知识,在CPI预测问题中很好地实现了语言表征、语义拓展与人机交互。相对于传统文本挖掘技术,本文设计的文本挖掘技术具有较强的泛化表征能力,在84个CPI预测关键种子词的基础上,扩充后的关键词对CPI具有更高的预测准确度和更充分的解释性。本文针对CP 预测问题设计的文本挖掘技术,也为建立其他宏观经济指标关键词词库提供新的研究思路与参考价值。 相似文献
104.
两种人口预测模型的精确度比较——以人口年龄移算法和灰色预测模型为例 总被引:3,自引:0,他引:3
对灰色预测模型、人口年龄移算法在人口预测结果中的精确度问题进行了比较研究.结论是:(1)灰色预测模型的预测精确度优于人口年龄移算法;(2)灰色预测模型残差在小范围内呈波动趋势,而人口年龄移算法残差表现为随预测时间的推移而增加的趋势;(3)灰色预测模型比人口年龄移算法更适合较长时期的人口预测. 相似文献
105.
The present work consider the problem of constructing search designs for searching at most two active hidden two-factor interactions in 3n factorial setup under the assumption that the three-factor and higher-order interactions are negligible. The designs presented here are also capable of estimating all the main effects, general mean and the effects of identified active two-factor interactions. The performance of the designs has been studied in the noisy case by computing probability of correct identification. 相似文献
106.
107.
108.
Hyonho Chun Sündüz Kele 《Journal of the Royal Statistical Society. Series B, Statistical methodology》2010,72(1):3-25
Summary. Partial least squares regression has been an alternative to ordinary least squares for handling multicollinearity in several areas of scientific research since the 1960s. It has recently gained much attention in the analysis of high dimensional genomic data. We show that known asymptotic consistency of the partial least squares estimator for a univariate response does not hold with the very large p and small n paradigm. We derive a similar result for a multivariate response regression with partial least squares. We then propose a sparse partial least squares formulation which aims simultaneously to achieve good predictive performance and variable selection by producing sparse linear combinations of the original predictors. We provide an efficient implementation of sparse partial least squares regression and compare it with well-known variable selection and dimension reduction approaches via simulation experiments. We illustrate the practical utility of sparse partial least squares regression in a joint analysis of gene expression and genomewide binding data. 相似文献
109.
When preparing data for public release, information organizations face the challenge of preserving the quality of data while protecting the confidentiality of both data subjects and sensitive data attributes. Without knowing what type of analyses will be conducted by data users, it is often hard to alter data without sacrificing data utility. In this paper, we propose a new approach to mitigate this difficulty, which entails using Bayesian additive regression trees (BART), in connection with existing methods for statistical disclosure limitation, to help preserve data utility while meeting confidentiality requirements. We illustrate the performance of our method through both simulation and a data example. The method works well when the targeted relationship underlying the original data is not weak, and the performance appears to be robust to the intensity of alteration. 相似文献
110.
消费者搜寻信息努力与影响因素的实证研究——以广告媒体为中心 总被引:7,自引:1,他引:6
结果表明,在被假设的广告媒体搜寻信息努力与五个影响因素之间的关系中,四个因素即搜寻态度(+)、自我卷入(+)、产品知识(-)、时间压力(-)与广告媒体搜寻信息努力之间有关系。而消费者感知风险与广告媒体搜寻信息努力之间没有关系。 相似文献