This paper presents our Recurrent Control Neural Network (RCNN), which is a model-based approach for a data-efficient modelling and control of reinforcement learning problems in di...
This paper reports the principles behind designing a tagset to cover Russian morphosyntactic phenomena, modifications of the core tagset, and its evaluation. The tagset and associ...
We introduce mCP nets, an extension of the CP net formalism to model and handle the qualitative and conditional preferences of multiple agents. We give a number of different seman...
Francesca Rossi, Kristen Brent Venable, Toby Walsh
This paper presents a Chinese word segmentation system which can adapt to different domains and standards. We first present a statistical framework where domain-specific words are...
We present a novel algorithm for simultaneous visual hull reconstruction and rendering by exploiting off-theshelf graphics hardware. The reconstruction is accomplished by projecti...