This work presents a neural model of self-localisation implemented on a simulated mobile robot with a realistic visual input. A population of modelled place cells with overlapping...
Denis Sheynikhovich, Ricardo Chavarriaga, Thomas S...
In physical implementations of associative memory, wiring costs play a significant role in shaping patterns of connectivity. In this study of sparsely-connected associative memory...
Cross-validation is a useful and generally applicable technique often employed in machine learning, including decision tree induction. An important disadvantage of straightforward...
Stream compaction is a common parallel primitive used to remove unwanted elements in sparse data. This allows highly parallel algorithms to maintain performance over several proce...
Trust has been explored by many researchers in the past as a solution for assisting the process of recommendation production. In this work we are examining the feasibility of build...