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» Machine Learning Approaches for Inducing Student Models
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ICANN
2009
Springer
15 years 7 months ago
Constrained Learning Vector Quantization or Relaxed k-Separability
Neural networks and other sophisticated machine learning algorithms frequently miss simple solutions that can be discovered by a more constrained learning methods. Transition from ...
Marek Grochowski, Wlodzislaw Duch
ICALT
2003
IEEE
15 years 8 months ago
An Instructional Framework Supporting Personalized Learning on the Web
In this paper an instructional framework is proposed for supporting personalised learning in the context of webbased adaptive educational hypermedia systems. A learning-focused ap...
Kyparisia A. Papanikolaou, Maria Grigoriadou
116
Voted
ICML
2003
IEEE
16 years 3 months ago
Learning with Knowledge from Multiple Experts
The use of domain knowledge in a learner can greatly improve the models it produces. However, high-quality expert knowledge is very difficult to obtain. Traditionally, researchers...
Matthew Richardson, Pedro Domingos
129
Voted
COMPSAC
2002
IEEE
15 years 7 months ago
Understanding SQL through Iconic Interfaces
Visual Query Languages represent an evolution, in terms of understandability and adaptability, with respect to traditional textual languages. We present an iconic query system tha...
Lerina Aversano, Gerardo Canfora, Andrea De Lucia,...
104
Voted
ICML
2006
IEEE
16 years 3 months ago
Learning high-order MRF priors of color images
In this paper, we use large neighborhood Markov random fields to learn rich prior models of color images. Our approach extends the monochromatic Fields of Experts model (Roth &...
Alex J. Smola, Julian John McAuley, Matthias O. Fr...