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ADAC
2007
58views more  ADAC 2007»
15 years 4 months ago
Generalized mixture models, semi-supervised learning, and unknown class inference
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...
Samuel J. Frame, Sreenivasa Rao Jammalamadaka
ICML
2005
IEEE
16 years 4 months ago
A theoretical analysis of Model-Based Interval Estimation
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...
Alexander L. Strehl, Michael L. Littman
ECTEL
2007
Springer
15 years 7 months ago
Curriculum Model Checking: Declarative Representation and Verification of Properties
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...
Matteo Baldoni, Elisa Marengo
ICML
1999
IEEE
16 years 4 months ago
Monte Carlo Hidden Markov Models: Learning Non-Parametric Models of Partially Observable Stochastic Processes
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...
Sebastian Thrun, John Langford, Dieter Fox
ICALT
2006
IEEE
15 years 10 months ago
Model-Driven Instructional Engineering to Generate Adaptable Learning Materials
The application of software engineering approaches to generate learning material adapted to a specific instructional purpose presents some issues: of different models, different a...
Juan Manuel Dodero, David Díez