Magnifying Lens Abstraction in Markov Decision Processes ∗ Pritam Roy1 David Parker2 Gethin Norman2 Luca de Alfaro1 Computer Engineering Dept, UC Santa Cruz, Santa Cruz, CA, USA ...
Pritam Roy, David Parker, Gethin Norman, Luca de A...
When working with diagrams in visual environments like graphical diagram editors, diagrams have to be represented by an internal model. Graphs and hypergraphs are well-known concep...
We prove that binary decision diagrams [1] can be polynomially simulated by the extended resolution rule of [2]. More precisely, for any unsatisfiable formula , there exists an ex...
Decision trees are a widely used knowledge representation in machine learning. However, one of their main drawbacks is the inherent replication of isomorphic subtrees, as a result...
Christophe Mues, Bart Baesens, Craig M. Files, Jan...
Decision diagrams are the state-of-the-art representation for logic functions, both binary and multiple-valued. Here we consider ways to improve the construction of multiple-value...