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Author: Yu Jijiang
Abstract: Based on Bayesian methods,which can recognize road quickly and perfectly,the article proposes a road detection method.The bitmap image is divided into roads,sky,and trees with the use of color information;and the RGB values of each pixel are extracted in ...
Abstract: Based on Bayesian methods,which can recognize road quickly and perfectly,the article proposes a road detection method.The bitmap image is divided into roads,sky,and trees with the use of color information;and the RGB values of each pixel are extracted in ...
Author: WANG Zhou-yu, LU Feng, WANG Ya
Abstract: Modern roundabout is widely used in intersections at home and abroad because of its decreasing delays, energy saving, environmental protection, higher safety and other advantages. It is very significant to reduce traffic accident at roundabouts profession...
Abstract: Modern roundabout is widely used in intersections at home and abroad because of its decreasing delays, energy saving, environmental protection, higher safety and other advantages. It is very significant to reduce traffic accident at roundabouts profession...
Decision Analysis of Students＇ Score Database Based on Weighted Naive Bayes Classification Algorithm
Author: CAI Jie , ZHOU Ke, ZHONC Jian-
Abstract: Based on the collected data and using the weight computed by the composite method, the weighted naive Bayes classification algorithm was applied in the analysis and prediction of students＇ score. The results showed that the better classification capabilit...
Abstract: Based on the collected data and using the weight computed by the composite method, the weighted naive Bayes classification algorithm was applied in the analysis and prediction of students＇ score. The results showed that the better classification capabilit...
Author: DA! Zhen-yang , PENG De-li
Abstract: The game theory is a sort of mathematic theory for studying and helping rational persons to find out the ways of how to make proper decisions and maximize their interests in the mutual interdependence circumstance. With the fast development of the constru...
Abstract: The game theory is a sort of mathematic theory for studying and helping rational persons to find out the ways of how to make proper decisions and maximize their interests in the mutual interdependence circumstance. With the fast development of the constru...
Author: BI Ke-ran et al
Abstract: [Objective] The research aimed to discuss the phylogenetic relation of some important spider groups based on 16S rRNA gene sequence.[Method] The Bayesian method,Maximum Parsimony and Maximum Likelihood analysis were used to analyze phylogenetic relationsh...
Abstract: [Objective] The research aimed to discuss the phylogenetic relation of some important spider groups based on 16S rRNA gene sequence.[Method] The Bayesian method,Maximum Parsimony and Maximum Likelihood analysis were used to analyze phylogenetic relationsh...
Author: TANG Ai-guo,WANG Ru-long, HU C
Abstract: In the early phase of software project life cycle or the research and development process of innovative project,the available case data are few or incomplete,and project risk mainly experiences the subjective assessment of experts which brings great diffi...
Abstract: In the early phase of software project life cycle or the research and development process of innovative project,the available case data are few or incomplete,and project risk mainly experiences the subjective assessment of experts which brings great diffi...
Author: YANG Hui-yun,ZHANG You-hui,HUO
Abstract: Noise reduction is one of the most important parts of image processing.This paper analyzes the histogram of noise polluted images and presents a novel denoising algorithm based on the minimum error Bayes decision and the theory of meaning filtering.First ...
Abstract: Noise reduction is one of the most important parts of image processing.This paper analyzes the histogram of noise polluted images and presents a novel denoising algorithm based on the minimum error Bayes decision and the theory of meaning filtering.First ...
Author: WU Kui , ZHOU Xianzhong, WANG
Abstract: Traditional algorithms for semantic similarity computation fall into two categories： distance-based and in- formation-based methods. The former ignores the objective statistics, while the latter suffers from insufficient do- main data. In this paper, a ne...
Abstract: Traditional algorithms for semantic similarity computation fall into two categories： distance-based and in- formation-based methods. The former ignores the objective statistics, while the latter suffers from insufficient do- main data. In this paper, a ne...
Author: LU Ming-bo, ZHOU Jun
Abstract: Considering the characteristic of shift invariance and redundancy of un-decimated wavelet transform, the model for wavelet coefficients based on Bayesian estimation and Generalized Gaussian distribution （GGD） is built, finally, constructs MapShrink subban...
Abstract: Considering the characteristic of shift invariance and redundancy of un-decimated wavelet transform, the model for wavelet coefficients based on Bayesian estimation and Generalized Gaussian distribution （GGD） is built, finally, constructs MapShrink subban...
Author: CAI Zhi-qiang,SUN Shu-dong,YAN
Abstract: Aiming at the weakness of traditional Bayesian network classifiers,a new kind of classifaier model based on Conditional Bayesian Networks （CBN） was proposed. With the indication of the conditional independence relationship among attribute variables given ...
Abstract: Aiming at the weakness of traditional Bayesian network classifiers,a new kind of classifaier model based on Conditional Bayesian Networks （CBN） was proposed. With the indication of the conditional independence relationship among attribute variables given ...
Author: ZHANG You-Dong,ZENG Qing-Kai,W
Abstract: The network forensic is faced with the question of the complex network intrusion analysis especially to forensic to the multi-step attack.So a new concept of coordinative forensics computing is defined.Through to extend the theory of function dependency,a...
Abstract: The network forensic is faced with the question of the complex network intrusion analysis especially to forensic to the multi-step attack.So a new concept of coordinative forensics computing is defined.Through to extend the theory of function dependency,a...
Author: MA Guo-shun, XIANG Zhong-zhi
Abstract: Based on Bertrand model with incomplete information, the multidimensional Bertrand model, which has triangular distribution on two kinds of products with certain substitutes for one another, is discussed in this paper. Finally, the Bayesian Nash equilibri...
Abstract: Based on Bertrand model with incomplete information, the multidimensional Bertrand model, which has triangular distribution on two kinds of products with certain substitutes for one another, is discussed in this paper. Finally, the Bayesian Nash equilibri...
Author: ZENG Zhao-you, LONG Zhi-he, DO
Abstract: A whole family of different spatial panel model has been developed, but how to choose the ＂best＂ model using appropriate criteria to meet the need of empirical research is still left as an unsolved problem. There is no uniform and coherent framework for s...
Abstract: A whole family of different spatial panel model has been developed, but how to choose the ＂best＂ model using appropriate criteria to meet the need of empirical research is still left as an unsolved problem. There is no uniform and coherent framework for s...
Author: CHEN Ling-yun,LI Yu-li
Abstract: The internal control assessment is an important part of the internal control implementation mechanism.The process of assessment comprises the self-assessment of managers and the authentication of auditors,a result of the coordination among related interes...
Abstract: The internal control assessment is an important part of the internal control implementation mechanism.The process of assessment comprises the self-assessment of managers and the authentication of auditors,a result of the coordination among related interes...
Author: ZHOU Kai - wu, YANG Hui - zhon
Abstract: Constructing sub -models can increase estimation accuracy in soft sensing modeling, and the construction of multi - model is based on the classification of the original data set. Among the methods of data classification, Naive Bayesian classifier has been...
Abstract: Constructing sub -models can increase estimation accuracy in soft sensing modeling, and the construction of multi - model is based on the classification of the original data set. Among the methods of data classification, Naive Bayesian classifier has been...
Author: ZHONG Lin, TANG Xiao-wo , NI D
Abstract: In the rural lands circulation market, farmers can be viewed as sellers of the use right of farmlands while other individuals （organizations） who hope to make use of that right as buyers and the government as auctioneer. To model this setting, we build a ...
Abstract: In the rural lands circulation market, farmers can be viewed as sellers of the use right of farmlands while other individuals （organizations） who hope to make use of that right as buyers and the government as auctioneer. To model this setting, we build a ...
Author: Liu Leping Pan Songquan Ren Xi
Abstract: Small area estimation is becoming important in survey sampling due to a growing demand for reliable small area statistics from both public and private sectors.In this paper,the theory and method of small area estimation（SAE）are reviewed,then the recent de...
Abstract: Small area estimation is becoming important in survey sampling due to a growing demand for reliable small area statistics from both public and private sectors.In this paper,the theory and method of small area estimation（SAE）are reviewed,then the recent de...
Author: Lai Shengqiang Xie Bangchang Z
Abstract: Having been broadly used in decision-making fields Rough Set Theory（RST）provides a way of extracting decision rules without imposing apriori assumptions.However current RST-based classification methods still need to discrete numerical variables into categ...
Abstract: Having been broadly used in decision-making fields Rough Set Theory（RST）provides a way of extracting decision rules without imposing apriori assumptions.However current RST-based classification methods still need to discrete numerical variables into categ...
Author: LIU Rong, JIN Hong-mei, DUAN F
Abstract: The rapid development of astronomical observation has led to many large sky surveys such as SDSS （Sloan digital sky survey） and LAMOST （large sky area multi-object spectroscopic telescope）. Since these surveys have produced very large numbers of spectra, ...
Abstract: The rapid development of astronomical observation has led to many large sky surveys such as SDSS （Sloan digital sky survey） and LAMOST （large sky area multi-object spectroscopic telescope）. Since these surveys have produced very large numbers of spectra, ...
Author: Deng Ying-na ,Zhu Hong ,Liu We
Abstract: Crowd object segmentation is a key issue of the object tracking and recognition in multiple cameras.Human rough models with position,scale and pose information are constructed and then get the corresponding models by using Bayesian model.Then,the foregrou...
Abstract: Crowd object segmentation is a key issue of the object tracking and recognition in multiple cameras.Human rough models with position,scale and pose information are constructed and then get the corresponding models by using Bayesian model.Then,the foregrou...
Author: MING Zhimao ZHANG Yunan TAO Ju
Abstract: A Bayesian reliability growth model of diverse populations based on the new Dirichlet prior distribution is studied.Aiming at some history and expert information during the development of a weapon,a Bayesian reliability growth model is presented based on ...
Abstract: A Bayesian reliability growth model of diverse populations based on the new Dirichlet prior distribution is studied.Aiming at some history and expert information during the development of a weapon,a Bayesian reliability growth model is presented based on ...
Author: Zhao Hua Xu Di
Abstract: The Bayes method sampling plan of water saving irrigation products was established by using the prior data and experiment.The Bayes sampling plan results of plastic pipes,micro-irrigation emitters and rotating sprinkler were collected and showed the sampl...
Abstract: The Bayes method sampling plan of water saving irrigation products was established by using the prior data and experiment.The Bayes sampling plan results of plastic pipes,micro-irrigation emitters and rotating sprinkler were collected and showed the sampl...
Author: Huang Lihua ,Li Chunlan ,Che
Abstract: As the Bayesian network model suitable for distribution system reliability evaluation is inadequate,the compositions of Bayesian network model are researched,and＂unite＂relation models and＂cause-effect＂relation models are set up.As the accurate inference o...
Abstract: As the Bayesian network model suitable for distribution system reliability evaluation is inadequate,the compositions of Bayesian network model are researched,and＂unite＂relation models and＂cause-effect＂relation models are set up.As the accurate inference o...
Author: SHI Yi-min,LI Xing-ya,LI Hao-l
Abstract: Aim To study the empirical Bayes estimation for the parameter of the two-side truncated distribution families in the case of NA samples.Methods The EB estimation for the parameter is constructed by the method of kernel estimation.Results The convergence r...
Abstract: Aim To study the empirical Bayes estimation for the parameter of the two-side truncated distribution families in the case of NA samples.Methods The EB estimation for the parameter is constructed by the method of kernel estimation.Results The convergence r...
Author: JIN Sheng,WANG Dian-hai,QI Hon
Abstract: Real-time and accurate traffic speed is important for a successful traffic management system.However,the most common form of the single-loop detector is incapable of providing speed measurements.This paper presents a method of speed estimation from single...
Abstract: Real-time and accurate traffic speed is important for a successful traffic management system.However,the most common form of the single-loop detector is incapable of providing speed measurements.This paper presents a method of speed estimation from single...
Author: LUO Jian ,LI Yan-mei
Abstract: A defense technique against DoS/DDoS attack based on Bayesian classification algorithm is proposed. The technique uses Bayes classifier to calculate the value characteristics of the data packets, it evaluate the risk score and map the danger level in acco...
Abstract: A defense technique against DoS/DDoS attack based on Bayesian classification algorithm is proposed. The technique uses Bayes classifier to calculate the value characteristics of the data packets, it evaluate the risk score and map the danger level in acco...
Author: WANG Yan- ping, LV Zhen- zhou,
Abstract: Under various reasonable noninformative priors, the hybrid of Gibbs sampling and Metropolis- Hastings algorithm is employed to prediction of Bayesian approach based the intensity of the power law process in the future time. The prediction could provide a ...
Abstract: Under various reasonable noninformative priors, the hybrid of Gibbs sampling and Metropolis- Hastings algorithm is employed to prediction of Bayesian approach based the intensity of the power law process in the future time. The prediction could provide a ...
Author: WANG Xiang-guo ZHAO Qing PENG
Abstract: Adopting the method of Bayes coordination, it applys into foundation safety analysis of Beisuota. Through the analysis know that the technology of data fusion can better eoordinate the detector data, which can provide reliable judge of foundation force an...
Abstract: Adopting the method of Bayes coordination, it applys into foundation safety analysis of Beisuota. Through the analysis know that the technology of data fusion can better eoordinate the detector data, which can provide reliable judge of foundation force an...
Author: PENG De-li
Abstract: It analyzes optimal bid invitation policy of no-base-price tender for engineering construction by using Bayesian Nash equilibrium of the static game of in-perfect information in Game theory, establishes mathematic model of profitable function for tenders ...
Abstract: It analyzes optimal bid invitation policy of no-base-price tender for engineering construction by using Bayesian Nash equilibrium of the static game of in-perfect information in Game theory, establishes mathematic model of profitable function for tenders ...
Author: Bi Chunguang,Chen Guifen
Abstract: In many of the data mining algorithm,bayes algorithm is widely used for its high accuracy and strong performance.by using daily life as the example,the bayes algorithm＇s basic principle was explained,and the data was analyze by the data mining tools of SQ...
Abstract: In many of the data mining algorithm,bayes algorithm is widely used for its high accuracy and strong performance.by using daily life as the example,the bayes algorithm＇s basic principle was explained,and the data was analyze by the data mining tools of SQ...