This paper presents an optimisation technique which automatically inlines certain classes within their enclosing class. Inlining a class involves inserting the fields and methods ...
Automatic classification of proteins using machine learning is an important problem that has received significant attention in the literature. One feature of this problem is that e...
Arthur Zimek, Fabian Buchwald, Eibe Frank, Stefan ...
This paper presents an empirical study in an industrial context on the production of software using a framework. Frameworks are semicomplete applications, usually implemented as a ...
Maurizio Morisio, Daniele Romano, Ioannis Stamelos
We investigate using topic prediction data, as a summary of document content, to compute measures of search result quality. Unlike existing quality measures such as query clarity ...
Abstract. Finding optimal policies for general partially observable Markov decision processes (POMDPs) is computationally difficult primarily due to the need to perform dynamic-pr...