One of the main difficulties when reconstructing human motion from monocular video is the depth ambiguity. Achieving a reconstruction, given the projection of the joints, can be r...
ABSTRACT: In this paper I present the model of ‘bounded revision’ that is based on two-dimensional revision functions taking as arguments pairs consisting of an input sentence ...
Typically, Markov decision problems (MDPs) assume a single action is executed per decision epoch, but in the real world one may frequently execute certain actions in parallel. Thi...
Ontology design is a complex and time-consuming process. It is extremely difficult for human experts to discover ontology from given data or texts. This paper presents a semi-autom...
Several reinforcement-learning techniques have already been applied to the Acrobot control problem, using linear function approximators to estimate the value function. In this pape...