Using decision trees that split on randomly selected attributes is one way to increase the diversity within an ensemble of decision trees. Another approach increases diversity by ...
Michael Gashler, Christophe G. Giraud-Carrier, Ton...
Traditionally, collaborative filtering (CF) algorithms used for recommendation operate on complete knowledge. This makes these algorithms hard to employ in a decentralized contex...
The difficulty of finding errors caused by unexpected interleavings of threads in concurrent programs is well known. Model checkers can pinpoint such errors and verify correctness...
Server replication is a common approach to improving the scalability of a service on the Internet. For this approach, the task of finding an appropriate server from a set of repli...
Mohamed-Vall O. Mohamed-Salem, Gregor von Bochmann...
Abstract. Cluster ensembles are deemed to be better than single clustering algorithms for discovering complex or noisy structures in data. Various heuristics for constructing such ...