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BMCBI
2006
119views more  BMCBI 2006»
13 years 5 months ago
LS-NMF: A modified non-negative matrix factorization algorithm utilizing uncertainty estimates
Background: Non-negative matrix factorisation (NMF), a machine learning algorithm, has been applied to the analysis of microarray data. A key feature of NMF is the ability to iden...
Guoli Wang, Andrew V. Kossenkov, Michael F. Ochs
PST
2008
13 years 6 months ago
The Uncertainty of the Truth
Can we trust without any reliable truth information? Most trust architectures work in a similar way: a trustor makes some observations, rates the trustee, and makes recommendations...
Michel Deriaz
CORR
2008
Springer
138views Education» more  CORR 2008»
13 years 5 months ago
Computing Minimum Spanning Trees with Uncertainty
Abstract. We consider the minimum spanning tree problem in a setting where information about the edge weights of the given graph is uncertain. Initially, for each edge e of the gra...
Thomas Erlebach, Michael Hoffmann 0002, Danny Kriz...
SIGMOD
2007
ACM
225views Database» more  SIGMOD 2007»
14 years 5 months ago
From complete to incomplete information and back
Incomplete information arises naturally in numerous data management applications. Recently, several researchers have studied query processing in the context of incomplete informat...
Lyublena Antova, Christoph Koch, Dan Olteanu
JAPLL
2008
121views more  JAPLL 2008»
13 years 4 months ago
Reasoning with prioritized information by iterative aggregation of distance functions
We introduce a general framework for reasoning with prioritized propositional data by aggregation of distance functions. Our formalism is based on a possible world semantics, wher...
Ofer Arieli