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» Dynamic power management using machine learning
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124
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ECML
2007
Springer
15 years 9 months ago
Scale-Space Based Weak Regressors for Boosting
Boosting is a simple yet powerful modeling technique that is used in many machine learning and data mining related applications. In this paper, we propose a novel scale-space based...
Jin Hyeong Park, Chandan K. Reddy
129
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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...
146
Voted
VLDB
2005
ACM
159views Database» more  VLDB 2005»
15 years 9 months ago
Temporal Management of RFID Data
RFID technology can be used to significantly improve the efficiency of business processes by providing the capability of automatic identification and data capture. This technol...
Fusheng Wang, Peiya Liu
134
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SAC
2000
ACM
15 years 8 months ago
The Evolution of the DARWIN System
DARWIN is a web-based system for presenting the results of wind-tunnel testing and computational model analyses to aerospace designers. DARWIN captures the data, maintains the inf...
Joan D. Walton, Robert E. Filman, David J. Korsmey...
118
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ICDM
2003
IEEE
119views Data Mining» more  ICDM 2003»
15 years 8 months ago
A Dynamic Adaptive Self-Organising Hybrid Model for Text Clustering
Clustering by document concepts is a powerful way of retrieving information from a large number of documents. This task in general does not make any assumption on the data distrib...
Chihli Hung, Stefan Wermter