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» Using common random numbers for indifference-zone selection
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ICMLA
2008
13 years 9 months ago
Decision Tree Ensemble: Small Heterogeneous Is Better Than Large Homogeneous
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...
CIKM
2009
Springer
14 years 2 months ago
Collaborative filtering using random neighbours in peer-to-peer networks
Traditionally, collaborative filtering (CF) algorithms used for recommendation operate on complete knowledge. This makes these algorithms hard to employ in a decentralized contex...
Arno Bakker, Elth Ogston, Maarten van Steen
ENTCS
2002
88views more  ENTCS 2002»
13 years 7 months ago
Testing Concurrent Java Programs using Randomized Scheduling
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...
Scott D. Stoller
ICDCSW
2003
IEEE
14 years 26 days ago
Scaling Server Selection Using a Multi-Broker Architecture
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...
MCS
2007
Springer
14 years 1 months ago
Selecting Diversifying Heuristics for Cluster Ensembles
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 ...
Stefan Todorov Hadjitodorov, Ludmila I. Kuncheva