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Análise bayesiana do funcionamento diferencial do item
(-Brasil-, 2019)
Multi-relational algorithm for mining association rules in large databases
(2011-12-01)
Multi-relational data mining enables pattern mining from multiple tables. The existing multi-relational mining association rules algorithms are not able to process large volumes of data, because the amount of memory required ...
Particle competition and cooperation to prevent error propagation from mislabeled data in semi-supervised learning
(2012-12-01)
Semi-supervised learning is applied to classification problems where only a small portion of the data items is labeled. In these cases, the reliability of the labels is a crucial factor, because mislabeled items may propagate ...
Particle competition and cooperation to prevent error propagation from mislabeled data in semi-supervised learning
(2012-12-01)
Semi-supervised learning is applied to classification problems where only a small portion of the data items is labeled. In these cases, the reliability of the labels is a crucial factor, because mislabeled items may propagate ...
Analyses of the Factor Structure and Item Measurement Bias of a School Climate Scale in Chilean Students
(FRONTIERS MEDIA SA, 2021)
School Climate is an essential aspect in every school community. It relates to perceptions of the school environment experienced by various members of the educational system. Research has shown that an appropriate school ...
How Often Is the Misfit of Item Response Theory Models Practically Significant?
(National Council on Measurement in Education, 2014)
Standard 3.9 of the Standards for Educational and Psychological Testing (1999) demands evidence of model fit when item response theory (IRT) models are employed to data from tests. Hambleton and Han (2005) and Sinharay ...
How Often Is the Misfit of Item Response Theory Models Practically Significant?
(National Council on Measurement in Education, 2014)
Standard 3.9 of the Standards for Educational and Psychological Testing (1999) demands evidence of model fit when item response theory (IRT) models are employed to data from tests. Hambleton and Han (2005) and Sinharay ...
An R package for multitrait and multienvironment data with the Item-based collaborative filtering algorithm
(Crop Science Society of America, 2019)
Comprehensive data validation of a combined weekly time use and travel survey
(Elsevier, 2021)
A well-known problem in Household Travel Surveys (HTS) is item-nonresponse, which occurs when complete trips are not reported or only partial information for trips is given. This article presents a comprehensive data ...