In this paper, a supervised learning system of word sense disambiguation is presented. It is based on conditional maximum entropy models. This system acquires the linguistic knowl...
The volumes of data in information systems are growing drastically. The systems become increasingly complex in trying to handle heterogeneity of ubiquitous components, standards, ...
Sergiy Nikitin, Artem Katasonov, Vagan Y. Terziyan
In order for humans and robots to work effectively together, they need to be able to converse about abilities, goals and achievements. Thus, we are developing an interaction infr...
Terrence Fong, Clayton Kunz, Laura M. Hiatt, Magda...
A still growing number of software concepts and framworks have been proposed to meet the challenges in the development of more and more complex robotic systems, like humanoids or n...
—This paper presents an analog neuromimetic integrated circuit and an associated system dedicated for experiments of parameters extraction in biological neuron models. The IC bas...