Abstract. In this paper, we propose a framework based on a subsymbolic approach for the support of exploratory activities in a hyperspace. By using it, it is possible to express th...
Mizue Kayama, Toshio Okamoto, Alexandra I. Cristea
— In this paper, a methodology for analyzing closed loop clock distribution and active deskewing networks is proposed. An active clock distribution and deskewing network is model...
We propose an active learning algorithm that learns a continuous valuation model from discrete preferences. The algorithm automatically decides what items are best presented to an...
This paper proposes a state based approach to gesture learning and recognition. Using spatial clustering and temporal alignment, each gesture is defined to be an ordered sequence ...
We contribute an approach for interactive policy learning through expert demonstration that allows an agent to actively request and effectively represent demonstration examples. I...