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皇家、公爵系列产品引领行业新潮流
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作者 未知 《摩托车信息》 2009年第11期94-95,共2页
2009年10月23日,中国摩托车工业博览会在江门盛大开幕。各大品牌纷纷使出奇招,从展厅布置、参展车型、节目安排到模特选择可以说是挖空心思,只求充分展示其品牌的魅力与实力。
关键词 潮流 行业 产品 工业博览会 参展车型 模特选择 摩托车 品牌
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如何办好时装鲜花秀
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作者 江志清 《浙江林业》 2003年第1期26-26,共1页
近年来,在各类时装秀中,出现了一种新的展示形式即时装鲜花秀。通过模特的表演,将鲜花的神韵和风采表现得淋漓尽致,它已渐渐在展会式的、公司性的、行业内的时装秀中流行。
关键词 时装鲜花秀 场地选择 模特选择 艺术形式
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A bidirectional feature selection method based on mutual information and redundancy-synergy coefficient
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作者 杨胜 张治 施鹏飞 《Journal of Harbin Institute of Technology(New Series)》 EI CAS 2006年第3期299-306,共8页
Feature subset selection is a fundamental problem of data mining. The mutual information of feature subset is a measure for feature subset containing class feature information. A hashing mechanism is proposed to calcu... Feature subset selection is a fundamental problem of data mining. The mutual information of feature subset is a measure for feature subset containing class feature information. A hashing mechanism is proposed to calculate the mutual information of feature subset. The feature relevancy is defined by mutual information. Redundancy-synergy coefficient, a novel redundancy and synergy measure for features to describe the class feature, is defined. In terms of information maximization rule, a bidirectional heuristic feature subset selection method based on mutual information and redundancy-synergy coefficient is presented. This study’s experiments show the good performance of the new method. 展开更多
关键词 mutual information feature selection pattern classification data mining
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Joint analysis of urban shopping destination and travel mode choice accounting for potential spatial correlation between alternatives 被引量:1
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作者 林姚宇 丁川 +3 位作者 王耀武 刘超 崔愉晨 Sabyasachee Mishra 《Journal of Central South University》 SCIE EI CAS 2014年第8期3378-3385,共8页
In recent years,there have been important developments in the joint analysis of the travel behavior based on discrete choice models as well as in the formulation of increasingly flexible closed-form models belonging t... In recent years,there have been important developments in the joint analysis of the travel behavior based on discrete choice models as well as in the formulation of increasingly flexible closed-form models belonging to the generalized extreme value class.The objective of this work is to describe the simultaneous choice of shopping destination and travel-to-shop mode in downtown area by making use of the cross-nested logit(CNL) structure that allows for potential spatial correlation.The analysis uses data collected in the downtown areas of Maryland-Washington,D.C.region for shopping trips,considering household,individual,land use,and travel-related characteristics.The estimation results show that the dissimilarity parameter in the CNL model is 0.37 and significant at the 95% level,indicating that the alternatives have high spatial correlation for the short shopping distance.The results of analysis reveal detailed significant influences on travel behavior of joint choice shopping destination and travel mode.Moreover,a Monte Carlo simulation for a group of scenarios arising from transportation policies and parking fees in downtown area,was undertaken to examine the impact of a change in car travel cost on the shopping destination and travel mode switching.These findings have important implications for transportation demand management and urban planning. 展开更多
关键词 shopping destination travel mode choice joint choice cross-nested logit Monte Carlo simulation
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Research on Chinese place name recognition based on kernel classifier
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作者 宇缨 王晓龙 +1 位作者 刘秉权 王慧 《Journal of Harbin Institute of Technology(New Series)》 EI CAS 2007年第1期79-82,共4页
A SVMs (Support Vector Machines) based method to identify Chinese place names is presented. In our approach, place name candidate is located according to a rational forming assumption, then SVMs based identification s... A SVMs (Support Vector Machines) based method to identify Chinese place names is presented. In our approach, place name candidate is located according to a rational forming assumption, then SVMs based identification strategy is used to distinguish whether one candidate is true place name or not. Referring to linguistic knowledge, basic semanteme of a contextual word and frequency information of words inside place name candidate are selected as features in our methodology. So dimension in the feature space is reduced dramatically and processing procedure is performed more efficiently. Result of open testing on unregistered place names achieves F-measure 83.25 in 8.17 million words news based on this project. 展开更多
关键词 SVMS Chinese place name feature selection semanteme kernel function
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Characterization of Photovoltaic Modules under Arid Environments
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作者 Abubaker Younis Esam Elsarrag +1 位作者 Yousef Alhorr Mahmoud Onsa 《Journal of Energy and Power Engineering》 2018年第1期44-56,共13页
Performance characteristics data of solar photovoltaic (PV) cell/module are conventionally obtained under standard testing conditions. In the present work, the performance of PV modules under extreme temperatures an... Performance characteristics data of solar photovoltaic (PV) cell/module are conventionally obtained under standard testing conditions. In the present work, the performance of PV modules under extreme temperatures and insolations experienced in State of Qatar was utilized to aid presenting a simplified characterization approach for the special case of arid environmental conditions. The chosen model was the well-known single diode model with both series and parallel resistors for greater accuracy. The modeling technique was validated by comparing the numerically calculated electrical characteristics with experimentally obtained data using two approaches: a single indoor fixed monocrystalline PV module inside a solar simulation chamber which physically simulated different weather scenarios by changing irradiation intensities and temperature, and a set of outdoor fixed polycrystalline PV modules. The result of the indoor experiment was presented in form of performance curves, and the outdoor experiment results in a monthly accumulated power production chart format. Both illustration types showed acceptable tolerance. 展开更多
关键词 Photovoltaics electrical characterization mathematical modeling.
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如何成功举办模特时装鲜花秀
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作者 江志清 《中国花卉园艺》 2003年第1期32-33,共2页
近年来,在各类时装秀中,出现了一种新的展示形式即时装鲜花秀.通过模特的表演,将鲜花的神韵和风采表现得淋漓尽致.它已渐渐在展会式的、公司性的、行业内的时装秀中流行,成为一道时尚的流动风景线.
关键词 模特时装鲜花秀 定位 场地 模特选择 花艺作品
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Variable Selection for Structural Equation with Endogeneity 被引量:1
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作者 FAN Qingliang ZHONG Wei 《Journal of Systems Science & Complexity》 SCIE EI CSCD 2018年第3期787-803,共17页
This paper studies variable selection problem in structural equation of a two-stage least squares (2SLS) model in presence of endogeneity which is commonly encountered in empirical economic studies. Model uncertaint... This paper studies variable selection problem in structural equation of a two-stage least squares (2SLS) model in presence of endogeneity which is commonly encountered in empirical economic studies. Model uncertainty and variable selection in the structural equation is an important issue as described in Andrews and Lu (2001) and Caner (2009). The authors propose an adaptive Lasso 2SLS estimator for linear structural equation with endogeneity and show that it enjoys the oracle properties, i.e., the consistency in both estimation and model selection. In Monte Carlo simulations, the authors demonstrate that the proposed estimator has smaller bias and MSE compared with the bridge-type GMM estimator (Caner, 2009). In a case study, the authors revisit the classic returns to education problem (Angrist and Krueger, 1991) using the China Population census data. The authors find that the education level not only has strong effects on income but also shows heterogeneity in different age cohorts. 展开更多
关键词 ENDOGENEITY structural equation 2SLS variable selection.
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Optimizing crown density and volume estimation across two coniferous forest types in southern China via Boruta and Cubist methods
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作者 Zhi-Dan Ding Zhao Sun +5 位作者 Yun-Hong Xie Jing-Jing Qiao Rui-Ting Liang Xin Chen Khadim Hussain Yu-Jun Sun 《Journal of Plant Ecology》 SCIE 2024年第5期91-105,共15页
Quantifying forest stand parameters is crucial in forestry research and environmental monitoring because it provides important factors for analyzing forest structure and comprehending forest resources.And the estimati... Quantifying forest stand parameters is crucial in forestry research and environmental monitoring because it provides important factors for analyzing forest structure and comprehending forest resources.And the estimation of crown density and volume has always been a prominent topic in forestry remote sensing.Based on GF-2 remote sensing data,sample plot survey data and forest resource survey data,this study used the Chinese fir(Cunninghamia lanceolata(Lamb.)Hook.)and Pinus massoniana Lamb.as research objects to tackle the key challenges in the use of remote sensing technology.The Boruta feature selection technique,together with multiple stepwise and Cubist regression models,was used to estimate crown density and volume in portions of the research area’s stands,introducing novel technological methods for estimating stand parameters.The results show that:(i)the Boruta algorithm is effective at selecting the feature set with the strongest correlation with the dependent variable,which solves the problem of data and the loss of original feature data after dimensionality reduction;(ii)using the Cubist method to build the model yields better results than using multiple stepwise regression.The Cubist regression model’s coefficient of determination(R^(2))is all more than 0.67 in the Chinese fir plots and 0.63 in the P.massoniana plots.As a result,combining the two methods can increase the estimation accuracy of stand parameters,providing a theoretical foundation and technical support for future studies. 展开更多
关键词 GF-2 image Boruta feature selection Cubist regression model estimation of stand parameters remote sensing estimation
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