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» Decision making in very large networks
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ICDM
2009
IEEE
137views Data Mining» more  ICDM 2009»
14 years 3 months ago
A Local Scalable Distributed Expectation Maximization Algorithm for Large Peer-to-Peer Networks
This paper offers a local distributed algorithm for expectation maximization in large peer-to-peer environments. The algorithm can be used for a variety of well-known data mining...
Kanishka Bhaduri, Ashok N. Srivastava
EEF
2000
14 years 12 days ago
Distributed and Structured Analysis Approaches to Study Large and Complex Systems
Both the logic and the stochastic analysis of discrete-state systems are hindered by the combinatorial growth of the state space underlying a high-level model. In this work, we con...
Gianfranco Ciardo
IJHPCA
2010
111views more  IJHPCA 2010»
13 years 6 months ago
Understanding Application Performance via Micro-benchmarks on Three Large Supercomputers: Intrepid, Ranger and Jaguar
Emergence of new parallel architectures presents new challenges for application developers. Supercomputers vary in processor speed, network topology, interconnect communication ch...
Abhinav Bhatele, Lukasz Wesolowski, Eric J. Bohm, ...
VLDB
1998
ACM
120views Database» more  VLDB 1998»
14 years 1 months ago
PUBLIC: A Decision Tree Classifier that Integrates Building and Pruning
Classification is an important problem in data mining. Given a database of records, each with a class label, a classifier generates a concise and meaningful description for each c...
Rajeev Rastogi, Kyuseok Shim
JAIR
2007
120views more  JAIR 2007»
13 years 8 months ago
An Algebraic Graphical Model for Decision with Uncertainties, Feasibilities, and Utilities
Numerous formalisms and dedicated algorithms have been designed in the last decades to model and solve decision making problems. Some formalisms, such as constraint networks, can ...
Cédric Pralet, Gérard Verfaillie, Th...