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UAI
2008
14 years 11 months ago
Causal discovery of linear acyclic models with arbitrary distributions
An important task in data analysis is the discovery of causal relationships between observed variables. For continuous-valued data, linear acyclic causal models are commonly used ...
Patrik O. Hoyer, Aapo Hyvärinen, Richard Sche...
ICPR
2010
IEEE
14 years 8 months ago
Performance Evaluation of Automatic Feature Discovery Focused within Error Clusters
We report performance evaluation of our automatic feature discovery method on the publicly available Gisette dataset: a set of 29 features discovered by our method ranks 129 among...
Sui-Yu Wang, Henry S. Baird
HICSS
2002
IEEE
84views Biometrics» more  HICSS 2002»
15 years 3 months ago
Two Experiences of Knowledge Management in Knowledge Intensive Organizations of the French Social Sector
We presented at HICSS-34 a new methodology based on the semantics of contracts to model business and, beyond, to manage the knowledge assets of a firm. In this paper we present tw...
Pierre Lévine, Jean-Charles Pomerol
ECAI
2006
Springer
15 years 1 months ago
Conceptual Hierarchies Matching: An Approach Based on Discovery of Implication Rules Between Concepts
Abstract. Most research works about ontology or schema matching are based on symmetric similarity measures. By transposing the association rules paradigm, we propose to use asymmet...
Jérôme David, Fabrice Guillet, R&eacu...
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BMCBI
2005
153views more  BMCBI 2005»
14 years 10 months ago
A comparative review of estimates of the proportion unchanged genes and the false discovery rate
Background: In the analysis of microarray data one generally produces a vector of p-values that for each gene give the likelihood of obtaining equally strong evidence of change by...
Per Broberg