Error-Driven Learning

Machine Learning encompasses all efforts and strategies to structure and program machines to improve their performances on specific tasks. In these applications, “learning” is usually defined in operational rather than cognitive terms – that is, in terms of measurable improvements in performance that are due to changes in the machine’s structure, programs, or data. Many strategies are under development, employing different computer architectures and a range of logics.