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PKDD
2009
Springer
148views Data Mining» more  PKDD 2009»
16 years 21 days ago
Feature Selection by Transfer Learning with Linear Regularized Models
Abstract. This paper presents a novel feature selection method for classification of high dimensional data, such as those produced by microarrays. It includes a partial supervisio...
Thibault Helleputte, Pierre Dupont
BIBE
2008
IEEE
272views Bioinformatics» more  BIBE 2008»
16 years 19 days ago
Design and implementation of the Smith-Waterman algorithm on the CUDA-compatible GPU
— This paper describes a design and implementation of the Smith-Waterman algorithm accelerated on the graphics processing unit (GPU). Our method is implemented using compute uni...
Yuma Munekawa, Fumihiko Ino, Kenichi Hagihara
DASFAA
2007
IEEE
178views Database» more  DASFAA 2007»
16 years 15 days ago
ClusterSheddy : Load Shedding Using Moving Clusters over Spatio-temporal Data Streams
Abstract. Moving object environments are characterized by large numbers of objects continuously sending location updates. At times, data arrival rates may spike up, causing the loa...
Rimma V. Nehme, Elke A. Rundensteiner
ICDE
2007
IEEE
167views Database» more  ICDE 2007»
16 years 14 days ago
Load Shedding for Window Joins on Multiple Data Streams
We consider the problem of semantic load shedding for continuous queries containing window joins on multiple data streams and propose a robust approach that is effective with the ...
Yan-Nei Law, Carlo Zaniolo
SSDBM
2007
IEEE
104views Database» more  SSDBM 2007»
16 years 12 days ago
Reservoir Sampling over Memory-Limited Stream Joins
In stream join processing with limited memory, uniform random sampling is useful for approximate query evaluation. In this paper, we address the problem of reservoir sampling over...
Mohammed Al-Kateb, Byung Suk Lee, Xiaoyang Sean Wa...