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Found 8 papers, 1 papers with code
Automatic Verb Classifier for Abui (AVC-abz)
The system combines manually annotated language data (the learning set) with the output of a morphological precision grammar (corpus data).
Monotonicity in practice of adaptive testing
The monotone model learned by the gradient method has a lower question prediction quality than unrestricted models but it is better in the main target of this application, which is the student score prediction.
Solving the Goddard problem by an influence diagram
Influence diagrams are a decision-theoretic extension of probabilistic graphical models.
Solving the Brachistochrone Problem by an Influence Diagram
Influence diagrams are a decision-theoretic extension of probabilistic graphical models.
Probabilistic Models for Computerized Adaptive Testing: Experiments
This paper follows previous research we have already performed in the area of Bayesian networks models for CAT.
Influence diagrams for the optimization of a vehicle speed profile
In this paper we apply influence diagrams to the optimization of a vehicle speed profile.
Bayesian Network Models for Adaptive Testing
In our research we use Bayesian networks to create a model of tested humans.
On tensor rank of conditional probability tables in Bayesian networks
A difficult task in modeling with Bayesian networks is the elicitation of numerical parameters of Bayesian networks.
