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TNN
2010
216views Management» more  TNN 2010»
13 years 2 months ago
Simplifying mixture models through function approximation
Finite mixture model is a powerful tool in many statistical learning problems. In this paper, we propose a general, structure-preserving approach to reduce its model complexity, w...
Kai Zhang, James T. Kwok
NIPS
2003
13 years 8 months ago
Sample Propagation
Rao–Blackwellization is an approximation technique for probabilistic inference that flexibly combines exact inference with sampling. It is useful in models where conditioning o...
Mark A. Paskin
IPPS
2009
IEEE
14 years 2 months ago
Performance modeling in action: Performance prediction of a Cray XT4 system during upgrade
We present predictive performance models of two of the petascale applications, S3D and GTC, from the DOE Office of Science workload. We outline the development of these models and...
Kevin J. Barker, Kei Davis, Darren J. Kerbyson
SIGMOD
2002
ACM
132views Database» more  SIGMOD 2002»
14 years 7 months ago
Clustering by pattern similarity in large data sets
Clustering is the process of grouping a set of objects into classes of similar objects. Although definitions of similarity vary from one clustering model to another, in most of th...
Haixun Wang, Wei Wang 0010, Jiong Yang, Philip S. ...
ICDM
2008
IEEE
184views Data Mining» more  ICDM 2008»
14 years 1 months ago
Bayesian Co-clustering
In recent years, co-clustering has emerged as a powerful data mining tool that can analyze dyadic data connecting two entities. However, almost all existing co-clustering techniqu...
Hanhuai Shan, Arindam Banerjee