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Article

RECOMMENDER ALGORITHMS BASED ON BOOSTING ENSEMBLE LEARNING

This article introduces ensemble learning algorithms in recommender systems, and in boosting algorithm framework of this article, shows how to filter the basic recommendation algorithm according to the characteristics of boosting algorithm. By comparing the rational choice of the two recommended boosting algorithm is applied to the frame. And then it determines the main parameters of the algorithm through the experiments, ultimately to obtain a more effective integration of the recommendation

Cheng Lili

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 368–386

Article

EXTREME GRADIENT BOOSTING METHOD IN THE PREDICTION OF COMPANY BANKRUPTCY

Machine learning methods are increasingly being used to predict company bankruptcy. Comparative studies carried out on selected methods to determine their suitability for predicting company bankruptcy have demonstrated high levels of prediction accuracy for the extreme gradient boosting method in this area. This method is resistant to outliers and relieves the researcher from the burden of having to provide missing data. The aim of this study is to assess how the elimination of outliers from

Barbara Pawełek

Statistics in Transition New Series , ISSUE 2, 155–171

Article

INTELLIGENT DETECTION OF FACIAL EXPRESSION BASED ON IMAGE

facial expression. Then, fusing the local texture feature and facial velocity information get the hybrid characteristics using Bag of Words. Finally, Multi-Instance Boosting model is used to recognize facial expression from video sequences. In order to be learned quickly and complete the detection, the class label information is used for the learning of the Multi-Instance Boosting model. Experiments were performed on a facial expression dataset built by ourselves and on the JAFFE database to evaluate

Shaoping Zhu, Yongliang Xiao

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 581–601

Article

MODEL OF THE MAINTENANCE AND REPAIR SYSTEM IN SERVICE MAINTENANCE MANAGEMENT

The model of service maintenance and repair of passenger rolling stock is considered as a multi-channel system. The presented model is implemented on the queuing model basis. The service maintenance and passenger rolling stock system stipulates not only for the transition to a new level of the maintenance system as a type of activity but as a means boosting up the economic growth rate and living standards. As a result, we managed to resolve the problem of the optimum design for the service

Dmitry BANNIKOV, Nina SIRINA, Alexander SMOLYANINOV

Transport Problems , ISSUE 3, 5–14

Article

An Ensemble Learning Method for Text Classification Based on Heterogeneous Classifiers

Ensemble learning can improve the accuracy of the classification algorithm and it has been widely used. Traditional ensemble learning methods include bagging, boosting and other methods, both of which are ensemble learning methods based on homogenous base classifiers, and obtain a diversity of base classifiers only through sample perturbation. However, heterogenous base classifiers tend to be more diverse, and multi-angle disturbances tend to obtain a variety of base classifiers. This paper

Fan Huimin, Li Pengpeng, Zhao Yingze, Li Danyang

International Journal of Advanced Network, Monitoring and Controls , ISSUE 1, 130–134

Article

AUTOMATIC FETAL ORGANS DETECTION AND APPROXIMATION IN ULTRASOUND IMAGE

M. Anwar Ma’sum, Wisnu Jatmiko, Budi Wiweko, Anom Bowolaksono

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 720–748

Article

A NOVEL KNOWLEDGE-COMPATIBILITY BENCHMARKER FOR SEMANTIC SEGMENTATION

vision-based knowledge, then outputs an estimate of the corresponding averaged class-accuracy value. The knowledge encodes three kinds of information, namely: cooccurrence statistics, scene properties and relative positions. We introduce three types of feature vectors for regression. Each specifies the characteristics of a probability vector that captures the compatibility between an annotation and each kind of the knowledge. Experiment results show that the Gradient Boosting regression outperforms

Vektor Dewanto, Aprinaldi, Zulfikar Ian, Wisnu Jatmiko

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 1284–1312

Article

AUTOMATED TELEHEALTH SYSTEM FOR FETAL GROWTH DETECTION AND APPROXIMATION OF ULTRASOUND IMAGES

automatic system for fetal growth monitoring and detection is proposed. This system will be able to automatically measuring the parameters of fetal head, abdomen, femur, and humerus. In addition to automated image detection, we also propose an integrated telehealth monitoring system to provide better access of ultrasound monitoring for patients that lives in rural areas. A new approach of fetal image detection is also proposed by using AdaBoost.MH boosting algorithm that is combined with an improved

Wisnu Jatmiko, Ikhsanul Habibie, M. Anwar Ma’sum, Robeth Rahmatullah, I Putu Satwika

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 697–719

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