This paper addresses the training of classification trees for weakly labelled data. We call ”weakly labelled data”, a training set such as the prior labelling information pro...
Identification of transliterations is aimed at enriching multilingual lexicons and improving performance in various Natural Language Processing (NLP) applications including Cross ...
Hierarchical culling is a key acceleration technique used to efficiently handle massive models for ray tracing, collision detection, etc. To support such hierarchical culling, bo...
Tae-Joon Kim, Yongyoung Byun, Yongjin Kim, Bochang...
Extensive software-based simulation continues to be the mainstream methodology for functional verification of designs. To optimize the use of limited simulation resources, coverag...
Onur Guzey, Li-C. Wang, Jeremy R. Levitt, Harry Fo...
Abstract. This paper surveys the state-of-the-art in developing multi-agent systems, and sets out to answer the questions: "what are the key current issues in developing multi...
Rafael H. Bordini, Mehdi Dastani, Michael Winikoff