An empirical study of the domain of patch-based learning algorithms for image and video processing is conducted. As patch-based algorithms are commonly used, knowledge of the prop...
Naive Bayes models have been widely used for clustering and classification. However, they are seldom used for general probabilistic learning and inference (i.e., for estimating an...
We aim to make sense of a perplexing human experience (fun) as it occurs in a recently discovered place for sociotechnical study (the home). Our toolkit includes technology probes...
Sonja Pedell, Tim Miller, Frank Vetere, Leon Sterl...
Incorporating background knowledge into data mining algorithms is an important but challenging problem. Current approaches in semi-supervised learning require explicit knowledge p...
Samah Jamal Fodeh, William F. Punch, Pang-Ning Tan
It is usual for work completed at one point in a software development process to be revisited, or reworked, at a later point. Such rework is informally understood, but if we hope t...
Aaron G. Cass, Leon J. Osterweil, Alexander E. Wis...