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» Learning to Learn Causal Models
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AIED
2009
Springer
15 years 11 months ago
Toward Adaptive Presentations of Student Models in eLearning Environments
In this paper we report our work on introducing adaptations of the learner model’s presentation in adaptive educational systems, in order to bring a healthy balance between the u...
Luca Mazzola, Riccardo Mazza
CVPR
1997
IEEE
15 years 8 months ago
Learning Generic Prior Models for Visual Computation
This paper presents a novel theory for learning generic prior models from a set of observed natural images based on a minimax entropy theory that the authors studied in modeling t...
Song Chun Zhu, David Mumford
ICML
2001
IEEE
16 years 5 months ago
Using EM to Learn 3D Models of Indoor Environments with Mobile Robots
This paper describes an algorithm for generating compact 3D models of indoor environments with mobile robots. Our algorithm employs the expectation maximization algorithm to fit a...
Yufeng Liu, Rosemary Emery, Deepayan Chakrabarti, ...
CVPR
2007
IEEE
16 years 6 months ago
On-line Simultaneous Learning and Tracking of Visual Feature Graphs
Model learning and tracking are two important topics in computer vision. While there are many applications where one of them is used to support the other, there are currently only...
Arnaud Declercq, Justus H. Piater
ICALT
2010
IEEE
15 years 2 months ago
A New Approach Based on Modelled Traces to Compute Collaborative and Individual Indicators Human Interaction
We propose in this paper a new method to compute indicators based on models transformations. We use the concept of modeled trace and trace-based system to design an indicator. We u...
Tarek Djouad, Alain Mille, Christophe Reffay, Moha...