書誌事項
- タイトル別名
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- High-Speed Learning of Support Vector Machine by Divide and Conquer Method
- ブンカツ トウチ ニ ヨル Support Vector Machine ノ ガクシュウ ノ コウソクカ
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抄録
Item Response Theory (IRT) is a method to analyze test and test items with assumpitions on the mathematical relationship between abilities and item responses. IRT is used for developing and refining test items in many fields of education. In this work, we carried out an IRT analysis by using data obtained from two types of programming tests. We applied the two parameter logistic model with item parameters aj and bj. The item parameter aj represents the discrimination power of the jth test item, and bj estimates ability, and this is caused partially by the insufficient number of test items.
収録刊行物
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- 宮崎大学工学部紀要
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宮崎大学工学部紀要 36 339-344, 2007-08-30
宮崎大学工学部
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詳細情報 詳細情報について
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- CRID
- 1050570264719601280
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- NII論文ID
- 110006389182
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- NII書誌ID
- AA00732558
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- ISSN
- 05404924
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- HANDLE
- 10458/878
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- NDL書誌ID
- 8984795
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- 本文言語コード
- ja
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- 資料種別
- departmental bulletin paper
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- データソース種別
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- IRDB
- NDL
- CiNii Articles