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» Clarifying Goal Models
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AAAI
2000
15 years 6 months ago
ADVISOR: A Machine Learning Architecture for Intelligent Tutor Construction
We have constructed ADVISOR, a two-agent machine learning architecture for intelligent tutoring systems (ITS). The purpose of this architecture is to centralize the reasoning of a...
Joseph Beck, Beverly Park Woolf, Carole R. Beal
SIGOPS
2010
84views more  SIGOPS 2010»
15 years 3 months ago
LazyBase: freshness vs. performance in information management
Information management applications exhibit a wide range of query performance and result freshness goals. Some applications, such as web search, require interactive performance, b...
Kimberly Keeton, Charles B. Morrey III, Craig A. N...
180
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CORR
2012
Springer
183views Education» more  CORR 2012»
14 years 9 days ago
Learning Determinantal Point Processes
Determinantal point processes (DPPs), which arise in random matrix theory and quantum physics, are natural models for subset selection problems where diversity is preferred. Among...
Alex Kulesza, Ben Taskar
PERCOM
2006
ACM
16 years 4 months ago
Sentient Processes - Process-based Applications in Pervasive Computing
Users' tasks are typically a sequence of steps. Today, the goal of Pervasive Computing applications ? to support users in their tasks by using context information ? is only p...
Stephan Urbanski, Christian Becker, Kurt Rothermel
AH
2006
Springer
15 years 10 months ago
Assessment of Motivation in Online Learning Environments
This research outline refers to the assessment of motivation in online learning environments. It includes a presentation of previous approaches, most of them based on Keller’s AR...
Mihaela Cocea