書誌事項
- タイトル別名
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- Acquiring Graphic Design Knowledge with Inductive Logic Programming
- キノウ ロンリ プログラミング オ モチイタ グラフィック デザイン チシキ ノ カクトク
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抄録
In this paper, we apply Inductive Logic Programming (ILP) to acquire graphic design knowledge. Acquiring design knowledge is a challenging task because such knowledge is complex and vast. We thus focus on principles of layout and constraints that layouts must satisfy to realize automatic layout generation. Although we do not have negative examples in this case, we can generate them randomly by considering that a page with just one element moved is always wrong. Our nonmonotonic learning method introduces a new predicate for exceptions. In our method, the ILP algorithm is executed twice, exchanging positive and negative examples. From our experiments using magazine advertisements, we obtained rules characterizing good layouts and containing relationships between elements. Moreover, the experiments show that our method can learn more accurate rules than normal ILP can.
収録刊行物
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- 人工知能学会論文誌
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人工知能学会論文誌 16 156-163, 2001
一般社団法人 人工知能学会
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詳細情報 詳細情報について
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- CRID
- 1390001205108217728
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- NII論文ID
- 10015769739
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- NII書誌ID
- AA11579226
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- ISSN
- 13468030
- 13460714
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- NDL書誌ID
- 5986978
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可