Learning ranking (or preference) functions has been a major issue in the machine learning community and has produced many applications in information retrieval. SVMs (Support Vect...
This paper presents a probing-based method for probabilistic localization in automated robotic assembly. We consider peg-in-hole problems in which a needle-like peg has a single p...
imately 20 million abstracts. Browsing such a huge repository to find relevant information as well as providing elearning service requires new generation of interfaces. Methods suc...
Mohammed Yeasin, Bhanu Vanteru, Jahangheer S. Shai...
In a series of articles, we developed a method to translate general recursive functions written in a functional programming style into constructive type theory. Three problems rema...
The aggregation of conflicting preferences is an important issue in human society and multiagent systems. Due to its universality, voting among a set of alternatives has a centra...