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KDD
1999
ACM
199views Data Mining» more  KDD 1999»
15 years 8 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
PPOPP
1991
ACM
15 years 7 months ago
Dynamic Node Reconfiguration in a Parallel-Distributed Environment
Idle workstations in a network represent a significant computing potential. In particular, their processing power can be used by parallel-distributed programs that treat the netwo...
Michael J. Feeley, Brian N. Bershad, Jeffrey S. Ch...
WWW
2010
ACM
15 years 11 months ago
Distributed nonnegative matrix factorization for web-scale dyadic data analysis on mapreduce
The Web abounds with dyadic data that keeps increasing by every single second. Previous work has repeatedly shown the usefulness of extracting the interaction structure inside dya...
Chao Liu, Hung-chih Yang, Jinliang Fan, Li-Wei He,...
SC
2000
ACM
15 years 8 months ago
Expressing and Enforcing Distributed Resource Sharing Agreements
Advances in computing and networking technology, and an explosion in information sources has resulted in a growing number of distributed systems getting constructed out of resourc...
Tao Zhao, Vijay Karamcheti
SCCC
1998
IEEE
15 years 8 months ago
Parallel Generation of Inverted Files for Distributed Text Collections
We present a scalable algorithm for the parallel computation of inverted files for large text collections. The algorithm takes into account an environment of a high bandwidth netw...
Berthier A. Ribeiro-Neto, Joao Paulo Kitajima, Gon...