Reconceiving Machine Learning

Machine Learning is a technology for making sense of data. It is pervasive, being used from bioinformatics to postal sorting. The field has grown to a large size and is impossible to comprehend as a whole. Consequently there is much re-invention and a focus on problems for which there are already solutions. The proposed research would reconceive the field by developing an understanding of relations between different problems. This will allow solutions to be designed modularly. It will allow the easier use and composition of machine learning technology by non-specialist end-users. It will make the field easier to learn and research and will lead to improved solutions to a range of real problems in a wide variety of end use areas.