Ensemble Learning for Multidimensional Poverty Classification
نویسندگان
چکیده
منابع مشابه
ADABOOST ENSEMBLE ALGORITHMS FOR BREAST CANCER CLASSIFICATION
With an advance in technologies, different tumor features have been collected for Breast Cancer (BC) diagnosis, processing of dealing with large data set suffers some challenges which include high storage capacity and time require for accessing and processing. The objective of this paper is to classify BC based on the extracted tumor features. To extract useful information and diagnose the tumo...
متن کاملDeep Transfer Learning Ensemble for Classification
Transfer learning algorithms typically assume that the training data and the test data come from different distribution. It is better at adapting to learn new tasks and concepts more quickly and accurately by exploiting previously gained knowledge. Deep Transfer Learning (DTL) emerged as a new paradigm in transfer learning in which a deep model offer greater flexibility in extracting high-level...
متن کاملOptimum Ensemble Classification for Fully Polarimetric SAR Data Using Global-Local Classification Approach
In this paper, a proposed ensemble classification for fully polarimetric synthetic aperture radar (PolSAR) data using a global-local classification approach is presented. In the first step, to perform the global classification, the training feature space is divided into a specified number of clusters. In the next step to carry out the local classification over each of these clusters, which cont...
متن کاملClassification of Customer’s Credit Risk Using Ensemble learning (Case study: Sepah Bank)
Banks activities are associated with different kinds of risk such as cresit risk. Considering the limited financial resources of banks to provide facilities, assessment of the ability of repayment of bank customers before granting facilities is one of the most important challenges facing the banking system of the country. Accordingly, in this research, we tried to provide a model for determinin...
متن کاملEvaluating Poverty Indicators among Government-Supported Households: A Multidimensional Approach
Introduction: Poverty is an undesirable socio-economic phenomenon that endangers the political stability, social solidarity, and mental health of the different sections of society. The literature on poverty in recent years has not been limited to income poverty, but also to other aspects such as health, education, and living standards. By identifying patterns of poverty, instead of prejudging t...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Sains Malaysiana
سال: 2020
ISSN: 0126-6039
DOI: 10.17576/jsm-2020-4902-24