Abstractā Existing random membership management algorithms provide each node with a small, uniformly random subset of global participants. However, many applications would beneļ¬...
Randomness is a critical resource in many computational scenarios, enabling solutions where deterministic ones are elusive or even provably impossible. However, the randomized solu...
In previous papers we have described the basic elements for building an economic model consisting of a group of artiļ¬cial traders functioning and adapting in an environment conta...
Feature selection is an important aspect of solving data-mining and machine-learning problems. This paper proposes a feature-selection method for the Support Vector Machine (SVM) l...
Kai Quan Shen, Chong Jin Ong, Xiao Ping Li, Einar ...
Motivation: Motif detection for DNA sequences has many important applications in biological studies, e.g., locating binding sites and regulatory signals, and designing genetic prob...