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» Sampling Techniques for Kernel Methods
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SCFBM
2008
104views more  SCFBM 2008»
14 years 9 months ago
A Perl toolkit for LIMS development
Background: High throughput laboratory techniques generate huge quantities of scientific data. Laboratory Information Management Systems (LIMS) are a necessary requirement, dealin...
James A. Morris, Simon A. Gayther, Ian J. Jacobs, ...
ISCA
2007
IEEE
106views Hardware» more  ISCA 2007»
15 years 4 months ago
Architectural implications of brick and mortar silicon manufacturing
We introduce a novel chip fabrication technique called “brick and mortar”, in which chips are made from small, pre-fabricated ASIC bricks and bonded in a designer-specified a...
Martha Mercaldi Kim, Mojtaba Mehrara, Mark Oskin, ...
KDD
2005
ACM
170views Data Mining» more  KDD 2005»
15 years 10 months ago
Parallel mining of closed sequential patterns
Discovery of sequential patterns is an essential data mining task with broad applications. Among several variations of sequential patterns, closed sequential pattern is the most u...
Shengnan Cong, Jiawei Han, David A. Padua
KDD
2002
ACM
183views Data Mining» more  KDD 2002»
15 years 10 months ago
E-CAST: A Data Mining Algorithm for Gene Expression Data
Data clustering methods have been proven to be a successful data mining technique in the analysis of gene expression data. The Cluster affinity search technique (CAST) developed b...
Abdelghani Bellaachia, David Portnoy, Yidong Chen,...
IISWC
2008
IEEE
15 years 4 months ago
Accelerating multi-core processor design space evaluation using automatic multi-threaded workload synthesis
The design and evaluation of microprocessor architectures is a difficult and time-consuming task. Although small, handcoded microbenchmarks can be used to accelerate performance e...
Clay Hughes, Tao Li