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» On Kernel Methods for Relational Learning
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123
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SDM
2009
SIAM
152views Data Mining» more  SDM 2009»
15 years 12 months ago
Multiple Kernel Clustering.
Maximum margin clustering (MMC) has recently attracted considerable interests in both the data mining and machine learning communities. It first projects data samples to a kernel...
Bin Zhao, James T. Kwok, Changshui Zhang
127
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BMCBI
2004
113views more  BMCBI 2004»
15 years 2 months ago
Oligo kernels for datamining on biological sequences: a case study on prokaryotic translation initiation sites
Background: Kernel-based learning algorithms are among the most advanced machine learning methods and have been successfully applied to a variety of sequence classification tasks ...
Peter Meinicke, Maike Tech, Burkhard Morgenstern, ...
104
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FCCM
2005
IEEE
151views VLSI» more  FCCM 2005»
15 years 8 months ago
Accelerating Applications by Mapping Critical Kernels on Coarse-Grain Reconfigurable Hardware in Hybrid Systems
In this paper, we propose a method for speeding-up applications by partitioning them between the reconfigurable hardware blocks of different granularity and mapping critical parts...
Michalis D. Galanis, Grigoris Dimitroulakos, Costa...
MICCAI
2009
Springer
16 years 3 months ago
MKL for Robust Multi-modality AD Classification
We study the problem of classifying mild Alzheimer's disease (AD) subjects from healthy individuals (controls) using multi-modal image data, to facilitate early identification...
Chris Hinrichs, Vikas Singh, Guofan Xu, Sterlin...
127
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ICML
2008
IEEE
16 years 3 months ago
Nearest hyperdisk methods for high-dimensional classification
In high-dimensional classification problems it is infeasible to include enough training samples to cover the class regions densely. Irregularities in the resulting sparse sample d...
Hakan Cevikalp, Bill Triggs, Robi Polikar