一种新的回归型约简多分辨率相关向量机

提出一种新的稀疏贝叶斯回归算法.基于相关向量机,首先通过尺度核和小波核构造完备基以提高预测精度;然后利用保局投影对输入矩阵的列进行主成分提取以减少训练时间,从而形成算法的初步模型.为进一步减小较大规模训练数据集的回归时间压力,算法对训练数据集的分层采样建立了初步模型,进而产生实际较小规模的训练数据集.实验结果表明,算法在预测精度和鲁棒性上优于传统支持向量机和相关向量机,且其训练时间较相关向量机少.     

绍兴传统台门建筑的布局理念及现代应用思路

本文通过对绍兴台门建筑的空间布局与人文理念的有效分析,思考台门住宅的布局理念,从而提出传统台门的现代应用思路。以"交往空间——灰空间——生活空间"为划分构架,在现代住宅中注入传统台门的设计理念,为现代住宅的设计发展提供积极的作用。     

中小城市的城市特色与城市风貌初探

随着城市人口的迁移与增多．人们在建筑空间和场所中显得越来越渺小,城市对居住者的感情越发淡漠,城市变成了陌生的场所,与地域传统相隔离的现代城市与建筑空间,业已失却了历史的痕迹和精神的家园。日趋相似的城市环境迫使人类重新思考,城市特色和风貌对于中小城市的重要意义,寻找重塑中小城市城市特色与风貌的方向。     

Accounting for dynamics in attribute-importance and for competitor performance to enhance reliability of BPNN-based importance-performance analysis

Importance-performance analysis (IPA) is a decision-support tool used in prioritizing quality improvements of products/services. Recently, back-propagation neural network (BPNN)-based approaches have been proposed to deal with the problem of asymmetric effects in customer satisfaction formation. Though reliability of IPA is increased by the integration of BPNN, shortcomings of the analytical framework remain that (a) it does not provide insight into forms and degrees of these asymmetric effects, (b) it does not account for differences between the relevance and determinance of quality attributes, and (c) it neglects the competitor dimension in attribute-prioritization. Since all these issues have important managerial implications, the authors of this study propose an extended BPNN-based IPA that uses a multidimensional operationalization of attribute-importance, and that considers competitive performance levels. Using data from an airline satisfaction survey, an empirical test reveals that the proposed approach significantly outperforms conventional BPNN-based IPA. In particular, conventional BPNN-IPA would mislead managerial action with regard to 3 out of 8 quality components (37.5%).     

基于伪文档的伪相关反馈方法

传统的伪相关反馈(Pseudo Relevance Feedback, PRF)方法通常是以文档作为扩展源单元提取扩展词,提取粒度过大造成扩展源质量下降,使得检索结果鲁棒性差。该文研究利用主题分析技术,尝试将文本语义内容作为扩展源单元,缓解扩展源质量不高的问题。提出并实现了对文本集中各文档内容的伪文档描述,通过对其进行隐式多样化处理,实现了从更细微的文本内容角度出发提取扩展词。通过在真实NTCIR8中文语料的检索结果表明,该方法可以有效地提升伪相关反馈的检索性能。     

Time Series Extended Finite‐State Machine‐Based Relevance Vector Machine Multi‐Fault Prediction

Fault prediction means to detect faults that can occur in the future. While most studies focus on predicting one fault at a time, multi‐fault prediction is more practical for industrial processes as multiple faults can cause much more damage than a single one. A time series extended finite‐state machine (TS‐EFSM)‐based relevance vector machine (RVM) approach is proposed for multi‐fault prediction. Time lags and correlation coefficients between the process variables and process states are determined. Then, a variable and a state dependence diagram based on the correlation coefficients is established with the EFSM. Furthermore, the RVM is applied to identify parameters for the sake of better prediction accuracy and shorter testing times. With the prediction parameters, faults can be predicted using the aforementioned TS‐EFSM state transitions.     

Productivity of R&D institution: The case of Indonesia

This study analyzes the performance of Indonesian R&D institutions based on R&D productivity. By applying an institutional approach, the effects of collective determinants such as quality of researcher, R&D budgets, locations and ages of R&D institutions on productivity are considered. Our findings show that these performance variables had strong and significant effects on R&D productivity. A national innovation system should be developed in developing countries with different models from those used in developed countries. The non-economic dimension is essential in developing national innovation systems in developing countries such as Indonesia.     

基于入文关怀的义乳文胸设计初探

随着经济社会的发展和人类的进步，“人文关怀”“以人为本”的设计理念逐渐走入生活中。文章以人文关怀的理念为出发点，以乳房缺失人群为目标对象，介绍义乳及专业义乳文胸的概念、作用和设计原则。并通过分析国内外义乳文胸的设计现状和专业义乳文脯的设计研究缺陷。为专业义乳文胸的创新、研发提供思路与参考。以共同关注和帮助术后乳房缺失的人群。走出心理障碍。普及佩戴义乳、重塑女性优美体态。重树生活信心。     

做学生健康成长的指导者和引路人

文章讨论了独立学院大学生在情感、生活、思维方面的时代特征,提出了管理工作的几点看法:以生为本的人本主义原则,朋辈管理加强沟通以及情感激励。通过灵活多样的教育手段,使大学生在校园中得到全面成长与提高。     

Use of a relevance vector machine for groundwater quality monitoring network design under uncertainty

This paper presents a methodology for groundwater quality monitoring network design. This design takes into account uncertainties in aquifer properties, pollution transport processes, and climate. The methodology utilizes a statistical learning algorithm called relevance vector machines (RVM), which is a sparse Bayesian framework that can be used for obtaining solutions to regression and classification tasks. Application of the methodology is illustrated using the Eocene Aquifer in the northern part of the West Bank, Palestine. The procedure presented in this paper utilizes a Monte Carlo (MC) simulation process to capture the uncertainties in recharge, hydraulic conductivity, and nitrate reaction processes through the application of a groundwater flow model and a nitrate fate and transport model. This MC modeling approach provides several thousand realizations of nitrate distribution in the aquifer. Subsets of these realizations are then used to design the monitoring network. This is done by building a best-fit model of nitrate concentration distribution everywhere in the aquifer for each Monte Carlo subset using RVM. The outputs from the RVM model are the distribution of nitrate concentration everywhere in the aquifer, the uncertainty in the characterization of those concentrations, and the number and locations of “relevance vectors” (RVs). The RVs form the basis of the optimal characterization of nitrate throughout the aquifer and represent the optimal locations of monitoring wells. In this paper, the number of monitoring wells and their locations where chosen based on the performance of the RVM model runs. The results from 100 model runs show the consistency of the model in selecting the number and locations of RV‘s. After implementing the design, the data collected from the monitoring sites can be used to estimate nitrate concentration distribution throughout the entire aquifer and to quantify the uncertainty in those estimates.