Generalized association rule mining is an extension of traditional association rule mining to discover more informative rules, given a taxonomy. In this paper, we describe a forma...
Garbage collection relieves the programmer of the burden of managing dynamically allocated memory, by providing an automatic way to reclaim unneeded storage. This eliminates or les...
This paper presents the framework of a scale-oriented scheme for the presentation and classification of reverse engineered sections of procedural code into objects. The aim is to ...
Aaron J. Quigley, Margot Postema, Heinz W. Schmidt
Multi-Agent Reinforcement Learning (MARL) algorithms suffer from slow convergence and even divergence, especially in large-scale systems. In this work, we develop a supervision fr...
Chongjie Zhang, Sherief Abdallah, Victor R. Lesser
Evaluation in Information Retrieval (IR) has long focused on effectiveness and efficiency. However, new and emerging access tasks now demand alternative evaluation measures which ...