In this paper we present a model transformation from a visual representation (VisualOCL) of the Object Constraint Language (OCL) to the textual one using graph transformation. Sta...
We propose a "soft greedy" learning algorithm for building small conjunctions of simple threshold functions, called rays, defined on single real-valued attributes. We al...
This poster describes a visualization tool for educators that allows the exploration of educational data. We display an entire classes sequence of actions to the user using a tree-...
We present a novel probabilistic multiple cause model for binary observations. In contrast to other approaches, the model is linear and it infers reasons behind both observed and ...
—It is well known that the key of Bayesian classifier learning is to balance the two important issues, that is, the exploration of attribute dependencies in high orders for ensu...