In this paper, we discuss generalized mixture models and related semi-supervised learning methods, and show how they can be used to provide explicit methods for unknown class infer...
Several algorithms for learning near-optimal policies in Markov Decision Processes have been analyzed and proven efficient. Empirical results have suggested that Model-based Inter...
When a curriculum is proposed, it is important to verify at least three aspects: that the curriculum allows the achievement of the user's learning goals, that the curriculum i...
We present a learning algorithm for non-parametric hidden Markov models with continuous state and observation spaces. All necessary probability densities are approximated using sa...
The application of software engineering approaches to generate learning material adapted to a specific instructional purpose presents some issues: of different models, different a...