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item response theory Based Ensemble in Machine Learning

International Journal of Automation and computing 2020年第5期17卷 621-636页

作者： Ziheng Chen Hongshik Ahn Department of Applied Mathematics and Statistics Stony Brook UniversityNew York 11794−3600USA

In this article,we propose a novel probabilistic framework to improve the accuracy of a weighted majority voting *** order to assign higher weights to the classifiers which can correctly classify hard-to-classify instances,we introduce the item response theory(IRT)framework to evaluate the samples′difficulty and classifiers′ability *** assigned the weights to classifiers based on their *** models are created with different assumptions suitable for different *** making an inference,we keep a balance between the accuracy and *** our experiment,all the base models are constructed by single trees via *** explain the models,we illustrate how the IRT ensemble model constructs the classifying *** also compare their performance with other widely used methods and show that our model performs well on 19 datasets.

关键词： Classification ensemble learning item response theory machine learning expectation maximization(EM)algorithm

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Protective behaviors regarding coastal flooding risk in a context of climate change

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Advances in Climate Change Research 2020年第4期11卷 310-316页

作者： Colin LEMEE Oscar NAVARRO Diego RESTREPO-OCHOA Denis MERCIER Ghozlane FLEURY-BAHI University of Brest Brest29200France Laboratoire de Psychologie des Pays de La Loire University of NantesNantes44312France CES University Medellin050022Colombia Laboratoire de Geographie Physique(UMR 8591-CNRS) Sorbonne UniversiteParis75000France

The physical vulnerability of coastal areas due to rising sea level and the flooding risk consequent,does not guarantee the implementation of protective behaviors by these risk zones’*** study aims to establish the link between the willingness to carry out protective behaviors and physical and perceived indicators of vulnerability.A typology of coastal flooding vulnerability,uses various physical indicators and their perceived counterparts which have been collected from 490 inhabitants of Cartagena(Colombia,declared world heritage of humanity by UNESCO in 1984),resident in areas of coastal flooding *** item-response theory(IRT)approach has been *** results reveal that the implementation of protective behaviors is more related to perceived indicators,such as distance to the sea,than to actual physical *** observe that physical vulnerability is linked to the intention to carry out protective *** presence of a defensive structure against coastal flooding could be considered as a visual cue and be a good predictor of the willingness to carry out protective *** the contrary,people in the most vulnerable situation(single-storey house)do not demonstrate a higher level of willingness to carry out protective behavior,as well of participants who lived in residential buildings which have demonstrated lower level of willingness to carry out such ***,vulnerability of the house is not seen as a criterion that encourages participants to better protect themselves.

关键词： Coastal flooding risk Protective behaviors Climate change Vulnerability item response theory

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Evaluation of A Scale of Patient-Reported Outcomes for the Assessment of Myasthenia Gravis Patients in China

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Chinese Journal of Integrative Medicine 2012年第10期18卷 737-745页

作者：刘凤斌陈新林郭丽刘小斌 Department of Internal Medicine The First Affiliated HospitalGuangzhou University of Chinese Medicine College of Basic Medical Science Guangzhou University of Chinese Medicine The Second Hospital Liwan District of Guangzhou The DENG Tietao Institute Guangzhou University of Chinese Medicine

Objective： To evaluate a scale of patient-reported outcomes for the assessment of myasthenia gravis patients （MG-PRO） in China. Methods： A total of 100 MG patients were interviewed for the field testing. Another 56 MG patients were selected and assessed with the MG-PRO scale before treatment and at 1, 2 and 4 weeks after treatment. The classical test theory and item response theory （IRT） were used to assess the psychometric characteristics of the MG-PRO scale, Results： The MG-PRO scale included 4 dimensions： physical, psychological, social environment, and treatment. Confirmatory factor analysis showed that each dimension was consistent with the theoretical construct. The scores of the physical and psychological dimensions increased significantly at 1 week after treatment （P〈0.05）. All the dimension scores and the MG-PRO score increased significantly at 2 and 4 weeks after treatment （P〈0.05）. IRT showed that person separation indices were greater than 0.8, most of the item fit residual statistics were within ＋ 2.5, and no item had uniform or non-uniform differential item functioning （DIF） between gender and age （〈40, 〉140）. Conclusions： The MG-PRO scale is valid for measuring the quality of life （QOL） of MG patients, with good reliability, validity, responsiveness, and good psychometric characteristics from IRT. It can be applied to evaluate the QOL of MG patients and to assess treatment effects in clinical trials.

关键词： myasthenia gravis quality of life patient-reported outcome classical test theory item response theory

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A Robust Factor Analysis Model for Dichotomous Data

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Journal of Systems Science and Information 2014年第5期2卷 437-450页

作者： Yixin YANG Xin L Jian MA Han QIAO Institute of Systems Science School of the Gifted Young University of Chinese Academy of Sciences University of Science and Technology of China Management School Department of Information Systems Chinese Academy of Sciences Academy of Mathematics and Systems Science City University of Hong Kong

Factor analysis is widely used in psychology, sociology and economics, as an analytically tractable method of reducing the dimensionality of the data in multivariate statistical analysis. The classical factor analysis model in which the unobserved factor scores and errors are assumed to follow the normal distributions is often criticized because of its lack of robustness. This paper introduces a new robust factor analysis model for dichotomous data by using robust distributions such as multivariate t-distribution. After comparing the fitting results of the normal factor analysis model and the robust factor analysis model for dichotomous data, it can been seen that the robust factor analysis model can get more accurate analysis results in some cases, which indicates this model expands the application range and practical value of the factor analysis model.

关键词： factor analysis dichotomous data item response theory robustness

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Many-Facets Analysis of Overseas Students' Evaluation of Teaching

Many-Facets Analysis of Overseas Students' Evaluation of Tea...

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2013年教育技术与管理科学国际会议

作者： Gao Qinghui Overseas Education College Xiamen University

The study employed Many-Facets Rasch Model (MFRM) to validate Overseas Students’ Evaluation of Teaching. 5 teachers and 43 foreign university students were involved in the study and five categories of the rating scale were employed to score the teachers’ teaching quality of TCSL (Teaching Chinese as a Second Language). Results show that the rating scale was able to distinguish between different levels of teaching quality, there were significant differences in the teachers’ teaching quality of TCSL (Teaching Chinese as a Second Language), and that raters used the scale in a consistent and consensus way.

关键词： item response theory foreign students Evaluation of Teaching many-facets Rasch model

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