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» Incompleteness in a General Setting
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ISCI
2008
137views more  ISCI 2008»
15 years 4 months ago
Stochastic dominance-based rough set model for ordinal classification
In order to discover interesting patterns and dependencies in data, an approach based on rough set theory can be used. In particular, Dominance-based Rough Set Approach (DRSA) has...
Wojciech Kotlowski, Krzysztof Dembczynski, Salvato...
PAMI
2006
141views more  PAMI 2006»
15 years 4 months ago
Diffusion Maps and Coarse-Graining: A Unified Framework for Dimensionality Reduction, Graph Partitioning, and Data Set Parameter
We provide evidence that non-linear dimensionality reduction, clustering and data set parameterization can be solved within one and the same framework. The main idea is to define ...
Stéphane Lafon, Ann B. Lee
FLAIRS
1998
15 years 5 months ago
Generating Diagnoses from Conflict Sets
Many techniques of finding possible diagnoses of faulty technical systems involve two sequential steps. First compute the collection of all minimal conflict sets, then transform t...
Rolf Haenni
WWW
2005
ACM
16 years 5 months ago
A framework for determining necessary query set sizes to evaluate web search effectiveness
We describe a framework of bootstrapped hypothesis testing for estimating the confidence in one web search engine outperforming another over any randomly sampled query set of a gi...
Eric C. Jensen, Steven M. Beitzel, Ophir Frieder, ...
KDD
2005
ACM
139views Data Mining» more  KDD 2005»
16 years 4 months ago
Reasoning about sets using redescription mining
Redescription mining is a newly introduced data mining problem that seeks to find subsets of data that afford multiple definitions. It can be viewed as a generalization of associa...
Mohammed Javeed Zaki, Naren Ramakrishnan