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FGCS
2008
103views more  FGCS 2008»
13 years 8 months ago
A case for cooperative and incentive-based federation of distributed clusters
Research interest in Grid computing has grown significantly over the past five years. Management of distributed resources is one of the key issues in Grid computing. Central to ma...
Rajiv Ranjan, Aaron Harwood, Rajkumar Buyya
AAAI
2006
13 years 10 months ago
Multi-Conditional Learning: Generative/Discriminative Training for Clustering and Classification
This paper presents multi-conditional learning (MCL), a training criterion based on a product of multiple conditional likelihoods. When combining the traditional conditional proba...
Andrew McCallum, Chris Pal, Gregory Druck, Xuerui ...
KDD
2004
ACM
103views Data Mining» more  KDD 2004»
14 years 9 months ago
An objective evaluation criterion for clustering
We propose and test an objective criterion for evaluation of clustering performance: How well does a clustering algorithm run on unlabeled data aid a classification algorithm? The...
Arindam Banerjee, John Langford
JMLR
2006
108views more  JMLR 2006»
13 years 8 months ago
Learning Spectral Clustering, With Application To Speech Separation
Spectral clustering refers to a class of techniques which rely on the eigenstructure of a similarity matrix to partition points into disjoint clusters, with points in the same clu...
Francis R. Bach, Michael I. Jordan
SDM
2009
SIAM
152views Data Mining» more  SDM 2009»
14 years 6 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