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ICDM
2007
IEEE
170views Data Mining» more  ICDM 2007»
14 years 1 months ago
Consensus Clusterings
In this paper we address the problem of combining multiple clusterings without access to the underlying features of the data. This process is known in the literature as clustering...
Nam Nguyen, Rich Caruana
KDD
1999
ACM
199views Data Mining» more  KDD 1999»
13 years 11 months ago
The Application of AdaBoost for Distributed, Scalable and On-Line Learning
We propose to use AdaBoost to efficiently learn classifiers over very large and possibly distributed data sets that cannot fit into main memory, as well as on-line learning wher...
Wei Fan, Salvatore J. Stolfo, Junxin Zhang
ISSTA
2010
ACM
13 years 9 months ago
Exploiting program dependencies for scalable multiple-path symbolic execution
This paper presents a new technique, called Symbolic Program Decomposition (or SPD), for symbolic execution of multiple paths that is more scalable than existing techniques, which...
Raúl A. Santelices, Mary Jean Harrold
CISIS
2008
IEEE
14 years 1 months ago
Latency Impact on Spin-Lock Algorithms for Modern Shared Memory Multiprocessors
In 2006, John Mellor-Crummey and Michael Scott received the Dijkstra Prize in Distributed Computing. This prize was for their 1991 paper on algorithms for scalable synchronization ...
Jan Christian Meyer, Anne C. Elster
JPDC
2008
110views more  JPDC 2008»
13 years 7 months ago
Parallel multilevel algorithms for hypergraph partitioning
In this paper, we present parallel multilevel algorithms for the hypergraph partitioning problem. In particular, we describe schemes for parallel coarsening, parallel greedy k-way...
Aleksandar Trifunovic, William J. Knottenbelt