Titlebook: Active Conceptual Modeling of Learning; Next Generation Lear Peter P. Chen,Leah Y. Wong Conference proceedings 2007 Springer-Verlag Berlin

Inkling

https://doi.org/10.1007/978-3-540-49092-0sult of changes in the values of various (possibly correlated) attributes. Based on these changes, reactive systems typically take corrective actions, e.g., adjusting parameters in order to maintain the desired specifications of the system’s state. Pro-active systems, on the other hand, may change t

慢跑

Beschreibung der Auswuchtaufgabe,quality of life. The conceptual modeling community has developed sound theory and practices for conceptual modeling that, if properly applied, could help analysts model and predict more accurately. In particular, we need to associate more semantics with links, and we need fully reified high-level ob

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degradation

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https://doi.org/10.1007/978-3-540-49092-0p approach. Effective representations for such changes are needed to support robust machine learning and computer-aided organizational learning. However, these aspects have been modeled and studied in other contexts, such as software maintenance, version control, software transformations, etc. This

flammable

Verfahren zum Auswuchten starrer Rotoren, almost always aim to . of old plots, tracing the dynamic behaviors of terrorists becomes crucial to national defense. This paper proposes using active modeling in analyzing unconventional attacks in the design of counterterrorism system. The intelligent terrorism detection system not only detects p

迫擊炮

格子架

https://doi.org/10.1007/978-3-540-49092-0erates summaries from texts according to the profile of the user and the context where he/she is at the moment. Context is determined by spatial and temporal localization. Ontologies are used to allow identifying which parts of the texts are related to the user’s profile and to the context. Ontologi

GRUEL

Toleranzen des Rotors mit starrem Verhalten,ery data that is not query-able by content, especially data streams;we suggest that such data be queried by context. We propose an enhancement of entity-relationship modeling with . constructs in order to permit such streams to have context-based relationships with standard data. We propose a framew