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Significance Tests for Feature Importance via Python Package Sial |
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2024-07 |
Conditional Process Analysis with measurement error: the structural equation modeling approach avaliable in the lavaan environment |
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2024-07 |
Residual Permutation Tests for Feature Importance in Machine Learning |
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2023-10 |
不同交叉驗證策略應用於機器學習之實徵評估 |
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2023-10 |
使用機器學習協助因果效果估計之實徵探討:相對小樣本之情境 |
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2023-10 |
限制聯合最大概似與邊際最大概似實徵表現之再檢驗 |
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2023-05 |
Self-Adapted Utterance Selection for Suicidal Ideation Detection in Lifeline Conversations |
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2022-12 |
Permutation Tests for Testing Variable Importance |
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2022-06 |
Accelerating dependency modeling with graphics processing units |
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pdf(368) |
2021-10 |
Accelerating Item Factor Analysis with GPU and Vectorization |
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pdf(339) |
2021-10 |
違反測量恆等性對於測驗總分與預測因素分數排序一致性之影響 |
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pdf(245) |
2021-07 |
Estimating the Reliability of Aggregated and Within Person Centered Scores in Ecological Momentary Assessment |
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2021-07 |
Psychometric modeling via deep learning libraries |
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pdf(394) |
2019-12 |
使用 TensorFlow 進行試題反應理論模型分析 |
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2019-12 |
雙因素模型下測驗分數信度係數之比較 |
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2019-11 |
大學生壓力源知覺量表:多面向強迫選擇方法之應用 |
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2019-11 |
利用卷積類神經網路對臉部表情進行判斷 |
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2019-11 |
新偶像崇拜量表的結構模型建立與檢驗 |
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2019-07 |
Sparse estimation for SEM via R package lslx |
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pdf(361) |
2018-07 |
Post-Selection Inference in Structural Equation Modeling |
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2018-05 |
Penalized item response models for polytomous data |
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2017-12 |
A Penalized Likelihood Method for Multi-Group Structural Equation Modeling |
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pdf(475) |
2017-10 |
lslx: Semi-Confirmatory Structural Equation Modeling via Penalized Likelihood |
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pdf(292) |
2016-10 |
具有遺漏值列聯表之最大概似估計 |
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2016-07 |
lsl: A Package for Structural Equation Modeling with Penalized Likelihood |
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pdf(362) |