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» Minimal Kernel Classifiers
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SIGMOD
2008
ACM
144views Database» more  SIGMOD 2008»
15 years 9 months ago
Mining significant graph patterns by leap search
With ever-increasing amounts of graph data from disparate sources, there has been a strong need for exploiting significant graph patterns with user-specified objective functions. ...
Xifeng Yan, Hong Cheng, Jiawei Han, Philip S. Yu
92
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WOSP
2010
ACM
15 years 4 months ago
Reducing performance non-determinism via cache-aware page allocation strategies
Performance non-determinism in computer systems complicates evaluation, use, and even development of these systems. In performance evaluation via benchmarking and simulation, nond...
Michal Hocko, Tomás Kalibera
VISUALIZATION
1999
IEEE
15 years 1 months ago
Splatting Without the Blur
Splatting is a volume rendering algorithm that combines efficient volume projection with a sparse data representation: Only voxels that have values inside the iso-range need to be...
Klaus Mueller, Torsten Möller, Roger Crawfis
GFKL
2007
Springer
163views Data Mining» more  GFKL 2007»
15 years 1 months ago
Fast Support Vector Machine Classification of Very Large Datasets
In many classification applications, Support Vector Machines (SVMs) have proven to be highly performing and easy to handle classifiers with very good generalization abilities. Howe...
Janis Fehr, Karina Zapien Arreola, Hans Burkhardt
BMCBI
2010
74views more  BMCBI 2010»
14 years 9 months ago
A weighted q-gram method for glycan structure classification
Background: Glycobiology pertains to the study of carbohydrate sugar chains, or glycans, in a particular cell or organism. Many computational approaches have been proposed for ana...
Limin Li, Wai-Ki Ching, Takako Yamaguchi, Kiyoko F...