This paper analyses the cognitive difficulty of six courses that may be taken as credit towards an IT degree offered by a regional Australian University. The assessment requiremen...
Dave Oliver, Tony Dobele, Myles Greber, Tim Robert...
Recently the problem of automatic composition of workflows has been receiving increasing interest. Initial investigation has shown that designing a practical and scalable composit...
The M-tree is a paged, dynamically balanced metric access method that responds gracefully to the insertion of new objects. Like many spatial access methods, the M-tree's perfo...
Probabilistic feature relevance learning (PFRL) is an effective method for adaptively computing local feature relevance in content-based image retrieval. It computes flexible retr...
We investigate the problem of non-covariant behavior of policy gradient reinforcement learning algorithms. The policy gradient approach is amenable to analysis by information geom...