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KDD
2010
ACM
224views Data Mining» more  KDD 2010»
13 years 9 months ago
Ensemble pruning via individual contribution ordering
An ensemble is a set of learned models that make decisions collectively. Although an ensemble is usually more accurate than a single learner, existing ensemble methods often tend ...
Zhenyu Lu, Xindong Wu, Xingquan Zhu, Josh Bongard
MASCOTS
2003
13 years 7 months ago
Using User Interface Event Information in Dynamic Voltage Scaling Algorithms
Increasingly, mobile computers use dynamic voltage scaling (DVS) to reduce CPU voltage and speed and thereby increase battery life. To determine how to change voltage and speed wh...
Jacob R. Lorch, Alan Jay Smith
EOR
2007
100views more  EOR 2007»
13 years 5 months ago
Parallel radial basis function methods for the global optimization of expensive functions
We introduce a master–worker framework for parallel global optimization of computationally expensive functions using response surface models. In particular, we parallelize two r...
Rommel G. Regis, Christine A. Shoemaker
TC
2008
13 years 5 months ago
Reducing the Energy Consumption of Ethernet with Adaptive Link Rate (ALR)
The rapidly increasing energy consumption by computing and communications equipment is a significant economic and environmental problem that needs to be addressed. Ethernet network...
Chamara Gunaratne, Kenneth J. Christensen, Bruce N...
WWW
2008
ACM
13 years 5 months ago
Divide, Compress and Conquer: Querying XML via Partitioned Path-Based Compressed Data Blocks
We propose a novel Partition Path-Based (PPB) grouping strategy to store compressed XML data in a stream of blocks. In addition, we employ a minimal indexing scheme called Block S...
Wilfred Ng, Ho Lam Lau, Aoying Zhou