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» Regression with interval output values
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SOCO
2008
Springer
13 years 7 months ago
Fuzzy linear regression model based on fuzzy scalar product
The new concept and method of imposing imprecise (fuzzy) input and output data upon the conventional linear regression model is proposed in this paper. We introduce the fuzzy scala...
Hsien-Chung Wu
BMCBI
2007
154views more  BMCBI 2007»
13 years 7 months ago
Inferring biological networks with output kernel trees
Background: Elucidating biological networks between proteins appears nowadays as one of the most important challenges in systems biology. Computational approaches to this problem ...
Pierre Geurts, Nizar Touleimat, Marie Dutreix, Flo...
ESANN
2006
13 years 9 months ago
Lag selection for regression models using high-dimensional mutual information
Mutual information may be used to select the embedding lag of a time series. However, this lag selection is usually limited to the analysis of the mutual information between a pair...
Geoffroy Simon, Michel Verleysen
WSC
1996
13 years 8 months ago
Experimental Evaluation of Confidence Interval Procedures in Sequential Steady-State Simulation
Sequential analysis of simulation output is generally accepted as the most efficient way for securing representativeness of samples of collected observations. In this scenario a s...
Donald C. McNickle, Krzysztof Pawlikowski, Gregory...
AMAI
2008
Springer
13 years 7 months ago
Recognition of interval Boolean functions
Interval functions constitute quite a special class of Boolean functions for which it is very easy and fast to determine their functional value on a specified input vector. Their ...
Ondrej Cepek, David Kronus, Petr Kucera