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GECCO
2004
Springer
102views Optimization» more  GECCO 2004»
16 years 25 days ago
Dynamic and Scalable Evolutionary Data Mining: An Approach Based on a Self-Adaptive Multiple Expression Mechanism
Data mining has recently attracted attention as a set of efficient techniques that can discover patterns from huge data. More recent advancements in collecting massive evolving da...
Olfa Nasraoui, Carlos Rojas, Cesar Cardona
ICA3PP
2010
Springer
16 years 7 days ago
On-Line Task Granularity Adaptation for Dynamic Grid Applications
Abstract. Deploying lightweight tasks on grid resources would let the communication overhead dominate the overall application processing time. Our aim is to increase the resulting ...
Nithiapidary Muthuvelu, Ian Chai, Eswaran Chikkann...
INFOVIS
1997
IEEE
15 years 11 months ago
Domesticating Bead: adapting an information visualization system to a financial institution
The Bead visualization system employs a fast algorithm for laying out high-dimensional data in a low-dimensional space, and a number of features added to 3D visualizations to impr...
Dominique Brodbeck, Matthew Chalmers, Aran Lunzer,...
ISCA
1997
IEEE
120views Hardware» more  ISCA 1997»
15 years 11 months ago
Run-Time Adaptive Cache Hierarchy Management via Reference Analysis
Improvements in main memory speeds have not kept pace with increasing processor clock frequency and improved exploitation of instruction-level parallelism. Consequently, the gap b...
Teresa L. Johnson, Wen-mei W. Hwu
221
Voted
ECML
2006
Springer
15 years 11 months ago
An Adaptive Kernel Method for Semi-supervised Clustering
Semi-supervised clustering uses the limited background knowledge to aid unsupervised clustering algorithms. Recently, a kernel method for semi-supervised clustering has been introd...
Bojun Yan, Carlotta Domeniconi