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A COMPARISON OF TWO STRATEGIES FOR AVOIDING NEGATIVE TRANSFER IN DOMAIN ADAPTATION BASED ON LOGISTIC REGRESSION
Transfer learning Domain Adaptation Negative Transfer Remote Sensing
2018/6/4
In this paper we deal with the problem of measuring the similarity between training and tests datasets in the context of transfer learning (TL) for image classification. TL tries to transfer knowledge...
CLASSIFICATION OF URBAN AERIAL DATA BASED ON PIXEL LABELLING WITH DEEP CONVOLUTIONAL NEURAL NETWORKS AND LOGISTIC REGRESSION
aerial data urban areas evidence combination object classification deep feature learning
2016/11/23
The recent success of deep convolutional neural networks (CNN) on a large number of applications can be attributed to large amounts of available training data and increasing computing power. In this p...
TRANSFER LEARNING BASED ON LOGISTIC REGRESSION
Transfer Learning Domain Adaptation Logistic Regression Machine Learning Knowledge Transfer Remote Sensing
2015/9/21
In this paper we address the problem of classification of remote sensing images in the framework of transfer learning with a focus on domain adaptation. The main novel contribution is a method for tra...
Multinomial Logistic Regression Predicted Probability Map To Visualize The Influence Of Socio-Economic Factors On Breast Cancer Occurrence in Southern Karnataka
Probability Multinomial logistic regression Breast Cancer Socio-economic influence
2014/12/15
Multinomial logistic regression analysis was used to develop statistical model that can predict the probability of breast cancer in Southern Karnataka using the breast cancer occurrence data during 20...
应用CF和Logistic回归模型编制滑坡危险性区划图
滑坡 危险性区划 确定性因素 Logistic回归模型 地理信息系统
2009/9/24
根据地理信息系统(GIS),以滑坡发生确定性系数(CF)和Logistic回归模型编制贵州省滑坡灾害区划图,其主要步骤为:应用历史滑坡灾点面积和滑坡致灾单因子子集面积计算CF,由此确定主要的滑坡致灾因子;应用Logistic回归模型、地理信息系统(GIS)空间分析工具和统计软件SPSS寻求最合适的模型描述灾害是否发生(因变量)与致灾因子(自变量)之间的关系;计算研究区域内各单元的滑坡概率,划分危险...
The Second International Symposium on Traffic Information and Logistic Engineering(第二届交通信息与物流工程国际研讨会)
第二届 交通信息 物流工程 国际研讨会
2009/4/2