This paper develops a new paradigm for relational learning which allows for the representation and learning of relational information using propositional means. This paradigm sugg...
In this chapter, we describe a view of statistical learning in the inductive logic programming setting based on kernel methods. The relational representation of data and background...
We present a formalization of dependency labeling with Integer Linear Programming. We focus on the integration of subcategorization into the decision making process, where the var...
This paper presents the evaluation of a non-blocking, decoupled memory/execution, multithreaded architecture known as the Scheduled Dataflow (SDF). The major recent trend in digit...
In this paper, we present co-processor selection problem for minimum energy consumption in hw/sw co-design on FPGAs with dual power mode. We provide theoretical analysis for the p...
Amir Hossein Gholamipour, Elaheh Bozorgzadeh, Suda...