1775 search results - page 139 / 355 » Learning Spectral Clustering |
ICML
2007
IEEE
15 years 11 months ago
2007
IEEE
Maximum margin clustering (MMC) is a recent large margin unsupervised learning approach that has often outperformed conventional clustering methods. Computationally, it involves n...
95
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RECOMB
2001
Springer
15 years 10 months ago
2001
Springer
The recent growth in genomic data and measurements of genome-wide expression patterns allows us to apply computational tools to examine gene regulation by transcription factors. I...
119
Voted
IJCAI
2001
14 years 11 months ago
2001
Supervised and unsupervised learning methods have traditionally focused on data consisting of independent instances of a single type. However, many real-world domains are best des...
112
Voted
AUSDM
2008
Springer
15 years 6 days ago
2008
Springer
Malware detection is an important problem today. New malware appears every day and in order to be able to detect it, it is important to recognize families of existing malware. Dat...
109
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CVPR
2009
IEEE
16 years 5 months ago
2009
IEEE
Latent Variable Models (LVM), like the Shared-GPLVM
and the Spectral Latent Variable Model, help mitigate over-
fitting when learning discriminative methods from small or
modera...