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» On Kernel Methods for Relational Learning
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SDM
2009
SIAM
152views Data Mining» more  SDM 2009»
16 years 6 days 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
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, ...
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 4 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...
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