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» Machine Learning Approaches for Inducing Student Models
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ICALT
2006
IEEE
14 years 1 months ago
Neuro Fuzzy Reasoner for Student Modeling
This paper presents a neuro-fuzzy system that can be used for student modeling. The proposed system enables classification of students based on qualitative observations of their c...
Zoran Sevarac
ICALT
2008
IEEE
14 years 1 months ago
Designing a Dynamic Bayesian Network for Modeling Students' Learning Styles
When using Learning Object Repositories, it is interesting to have mechanisms to select the more adequate objects for each student. For this kind of adaptation, it is important to...
Cristina Carmona, Gladys Castillo, Eva Millá...
ECML
2004
Springer
14 years 25 days ago
Inducing Polynomial Equations for Regression
Regression methods aim at inducing models of numeric data. While most state-of-the-art machine learning methods for regression focus on inducing piecewise regression models (regres...
Ljupco Todorovski, Peter Ljubic, Saso Dzeroski
ECML
2000
Springer
13 years 11 months ago
A Multiple Model Cost-Sensitive Approach for Intrusion Detection
Wei Fan, Wenke Lee, Salvatore J. Stolfo, Matthew M...
AIED
2005
Springer
14 years 1 months ago
Engagement tracing: using response times to model student disengagement
Time on task is an important predictor for how much students learn. However, students must be focused on their learning for the time invested to be productive. Unfortunately, stude...
Joseph E. Beck