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ECTEL
2006
Springer
15 years 10 months ago
A Context-Aware Service Oriented Framework for Finding, Recommending and Inserting Learning Objects
In this poster, we will propose a framework for finding, recommending and inserting learning objects in a digital repository level, exploiting the user context that is captured fro...
Xavier Ochoa, Stefaan Ternier, Gonzalo Parra, Erik...
CVPR
2009
IEEE
17 years 1 months ago
Observe Locally, Infer Globally: a Space-Time MRF for Detecting Abnormal Activities with Incremental Updates
We propose a space-time Markov Random Field (MRF) model to detect abnormal activities in video. The nodes in the MRF graph correspond to a grid of local regions in the video fra...
Jaechul Kim (University of Texas at Austin), Krist...
NIPS
2008
15 years 8 months ago
Human Active Learning
We investigate a topic at the interface of machine learning and cognitive science. Human active learning, where learners can actively query the world for information, is contraste...
Rui M. Castro, Charles Kalish, Robert Nowak, Ruich...
AAAI
1996
15 years 8 months ago
Learning Efficient Rules by Maintaining the Explanation Structure
Many learning systems suffer from the utility problem; that is, that time after learning is greater than time before learning. Discovering how to assure that learned knowledge wil...
Jihie Kim, Paul S. Rosenbloom
ICALT
2006
IEEE
16 years 19 days ago
Future Visions of Technology-Enhanced Professional Learning
The paper presents future visions of technologyenhanced professional learning as expressed in a panEuropean roadmapping activity. The paper introduces a new approach to developing...
Vana Kamtsiou, Ambjörn Naeve, Lampros K. Ster...