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» Composing Adaptive Learning Systems
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CVPR
2009
IEEE
16 years 8 months ago
Learning Signs from Subtitles: A Weakly Supervised Approach to Sign Language Recognition
This paper introduces a fully-automated, unsupervised method to recognise sign from subtitles. It does this by using data mining to align correspondences in sections of videos. Bas...
Helen Cooper, Richard Bowden
AIPS
2006
15 years 4 months ago
Combining Stochastic Task Models with Reinforcement Learning for Dynamic Scheduling
We view dynamic scheduling as a sequential decision problem. Firstly, we introduce a generalized planning operator, the stochastic task model (STM), which predicts the effects of ...
Malcolm J. A. Strens
AAAI
2010
15 years 4 months ago
Task Space Behavior Learning for Humanoid Robots using Gaussian Mixture Models
In this paper a system was developed for robot behavior acquisition using kinesthetic demonstrations. It enables a humanoid robot to imitate constrained reaching gestures directed...
Kaushik Subramanian
CE
2005
60views more  CE 2005»
15 years 2 months ago
Personalized e-learning system using Item Response Theory
Personalized service is important on the Internet, especially in Web-based learning. Generally, most personalized systems consider learner preferences, interests, and browsing beh...
Chih-Ming Chen, Hahn-Ming Lee, Ya-Hui Chen
IJCAI
1989
15 years 4 months ago
An Adaptive Model of Decision-Making in Planning
Learning how to make decisions in a domain is a critical aspect of intelligent planning behavior. The ability of a planner to adapt its decision-making to a domain depends in part...
Gregg Collins, Lawrence Birnbaum, Bruce Krulwich