In this paper, we describe the syntax and semantics for a probabilistic relational language (PRL). PRL is a recasting of recent work in Probabilistic Relational Models (PRMs) into ...
This paper describes a high performance sampling architecture for inference of latent topic models on a cluster of workstations. Our system is faster than previous work by over an...
This work presents a lookahead-based exploration strategy for a model-based learning agent that enables exploration of the opponent's behavior during interaction in a multi-a...
Fault-tolerant protocols, asynchronous and synchronous alike, make stationary fault assumptions: only a fraction f of the total n nodes may fail. Whilst a synchronous protocol is ...
Paulo Sousa, Nuno Ferreira Neves, Paulo Verí...
: The flow of data coming from modern sensing devices enables the development of novel research techniques related to data management and knowledge extraction. In this work, we und...