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Titlebook: Intelligent Tutoring Systems; 10th International C Vincent Aleven,Judy Kay,Jack Mostow Conference proceedings 2010 The Editor(s) (if applic

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41#
發(fā)表于 2025-3-28 14:45:14 | 只看該作者
stages of development of a digital library for geo-spatial information. In particular, we resolved several important issues concerning both the user interface and the catalog. In relation to the catalog, metadata standards arose as a key issue for the exchange of metadata between different digital l
42#
發(fā)表于 2025-3-28 22:30:59 | 只看該作者
43#
發(fā)表于 2025-3-28 23:50:24 | 只看該作者
44#
發(fā)表于 2025-3-29 06:10:54 | 只看該作者
Judi McCuaig,Mike Pearlstein,Andrew Juddmust be provided by digital library systems. In this paper, we present a general approach for handling structured documents (e.g., SGML documents) by exploiting object-oriented database technology. For this purpose, we propose a constraint-based object model capable of capturing in a uniform manner
45#
發(fā)表于 2025-3-29 08:17:44 | 只看該作者
46#
發(fā)表于 2025-3-29 11:47:01 | 只看該作者
Zachary A. Pardos,Matthew D. Dailey,Neil T. Heffernanmust be provided by digital library systems. In this paper, we present a general approach for handling structured documents (e.g., SGML documents) by exploiting object-oriented database technology. For this purpose, we propose a constraint-based object model capable of capturing in a uniform manner
47#
發(fā)表于 2025-3-29 15:50:55 | 只看該作者
Amin Rahati,Froduald Kabanzastages of development of a digital library for geo-spatial information. In particular, we resolved several important issues concerning both the user interface and the catalog. In relation to the catalog, metadata standards arose as a key issue for the exchange of metadata between different digital l
48#
發(fā)表于 2025-3-29 20:25:22 | 只看該作者
49#
發(fā)表于 2025-3-30 03:22:27 | 只看該作者
50#
發(fā)表于 2025-3-30 05:31:57 | 只看該作者
Jonathan G. K. Foss,Alexandra I. Cristeavels of complexity: the former refers to the inner object complexity while the latter takes into account the implicit/explicit relationships among objects. Traditional machine learning classifiers do not consider the relationships among objects assuming them independent and identically distributed.
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