Inducing a classification function from a set of examples in the form of labeled instances is a standard problem in supervised machine learning. In this paper, we are concerned w...
Abstract— In this paper, we propose exact and heuristic algorithms for minimizing the memory size for heterogeneous Multivalued Decision Diagrams (MDDs). In a heterogeneous MDD, ...
Recently, an approach has been presented to minimize Disjoint Sumof-Products (DSOPs) based on Binary Decision Diagrams (BDDs). Due to the symbolic representation of cubes for larg...
Random forest induction is a bagging method that randomly samples the feature set at each node in a decision tree. In propositional learning, the method has been shown to work well...
Celine Vens, Anneleen Van Assche, Hendrik Blockeel...
We define a boolean complete description logic dialect called DLFDreg that can be used to reason about structural equality in semistructured ordered data in the presence of docume...