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» Practical Preference Relations for Large Data Sets
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SDM
2009
SIAM
114views Data Mining» more  SDM 2009»
14 years 5 months ago
On the Comparison of Relative Clustering Validity Criteria.
Many different relative clustering validity criteria exist that are very useful in practice as quantitative measures for evaluating the quality of data partitions, and new criter...
Lucas Vendramin, Ricardo J. G. B. Campello, Eduard...
NIPS
2008
13 years 10 months ago
Relative Performance Guarantees for Approximate Inference in Latent Dirichlet Allocation
Hierarchical probabilistic modeling of discrete data has emerged as a powerful tool for text analysis. Posterior inference in such models is intractable, and practitioners rely on...
Indraneel Mukherjee, David M. Blei
IUI
1993
ACM
14 years 18 days ago
The price of flexibility
The goal of this paper is to model an agent who dislikes large choice sets because of the “cost of thinking” involved in choosing from them. We take as a primitive a preferenc...
David D. Woods
INFOCOM
2011
IEEE
12 years 12 months ago
Secure and practical outsourcing of linear programming in cloud computing
—Cloud Computing has great potential of providing robust computational power to the society at reduced cost. It enables customers with limited computational resources to outsourc...
Cong Wang, Kui Ren, Jia Wang
ICANN
2001
Springer
14 years 1 months ago
Independent Variable Group Analysis
Humans tend to group together related properties in order to understand complex phenomena. When modeling large problems with limited representational resources, it is important to...
Krista Lagus, Esa Alhoniemi, Harri Valpola