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COLT
2008
Springer
15 years 6 months ago
Model Selection and Stability in k-means Clustering
Clustering Stability methods are a family of widely used model selection techniques applied in data clustering. Their unifying theme is that an appropriate model should result in ...
Ohad Shamir, Naftali Tishby
123
Voted
SODA
2004
ACM
124views Algorithms» more  SODA 2004»
15 years 6 months ago
On contract-and-refine transformations between phylogenetic trees
The inference of evolutionary trees using approaches which attempt to solve the maximum parsimony (MP) and maximum likelihood (ML) optimization problems is a standard part of much...
Ganeshkumar Ganapathy, Vijaya Ramachandran, Tandy ...
UAI
1996
15 years 6 months ago
Learning Bayesian Networks with Local Structure
In this paper we examine a novel addition to the known methods for learning Bayesian networks from data that improves the quality of the learned networks. Our approach explicitly ...
Nir Friedman, Moisés Goldszmidt
EWC
2006
61views more  EWC 2006»
15 years 4 months ago
Embarrassingly parallel mesh refinement by edge subdivision
We have previously proposed a new technique for the communication-free adaptive refinement of tetrahedral meshes that works for all configurations. Implementations of the scheme mu...
David C. Thompson, Philippe P. Pébay
INFSOF
2006
66views more  INFSOF 2006»
15 years 4 months ago
Scenario-based multitasking for real-time object-oriented models
Contemporary embedded systems quite often employ extremely complicated software consisting of a number of interrelated components, and this has made object-oriented design methodo...
Saehwa Kim, Jiyong Park, Seongsoo Hong