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EOR
2000
64views more  EOR 2000»
13 years 4 months ago
Determination of weights of interacting criteria from a reference set
In this paper, we present a model allowing to determine the weights related to interacting criteria. This is done on the basis of the knowledge of a partial ranking over a referen...
Jean-Luc Marichal, Marc Roubens
EOR
2008
99views more  EOR 2008»
13 years 4 months ago
Ordinal regression revisited: Multiple criteria ranking using a set of additive value functions
We present a new method, called UTAGMS , for multiple criteria ranking of alternatives from set A using a set of additive value functions which result from an ordinal regression. ...
Salvatore Greco, Vincent Mousseau, Roman Slowinski
SIGIR
2008
ACM
13 years 4 months ago
Learning from labeled features using generalized expectation criteria
It is difficult to apply machine learning to new domains because often we lack labeled problem instances. In this paper, we provide a solution to this problem that leverages domai...
Gregory Druck, Gideon S. Mann, Andrew McCallum
BMCBI
2011
12 years 12 months ago
Learning genetic epistasis using Bayesian network scoring criteria
Background: Gene-gene epistatic interactions likely play an important role in the genetic basis of many common diseases. Recently, machine-learning and data mining methods have be...
Xia Jiang, Richard E. Neapolitan, M. Michael Barma...
CIDM
2007
IEEE
13 years 11 months ago
Measuring the Validity of Document Relations Discovered from Frequent Itemset Mining
— The extension approach of frequent itemset mining can be applied to discover the relations among documents. Several schemes, i.e., n-gram, stemming, stopword removal and term w...
Kritsada Sriphaew, Thanaruk Theeramunkong