s as an Abstract Domain Jacob M. Howe1,4 Dept of Computing, City University London, UK Andy King1,3,5 School of Computing, University of Kent, Canterbury, UK Charles Lawrence-Jones...
Identifying the appropriate kernel function/matrix for a given dataset is essential to all kernel-based learning techniques. A variety of kernel learning algorithms have been prop...
Narrative-centered learning environments offer significant potential for creating effective learning experiences in which students actively participate in engaging story-based prob...
Virtual learning communities bring together people from diverse backgrounds and provide the basis for knowledge construction and sharing. Important processes for the community to f...
— A learning machine is called singular if its Fisher information matrix is singular. Almost all learning machines used in information processing are singular, for example, layer...