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CSDA
2008
89views more  CSDA 2008»
13 years 7 months ago
Projection density estimation under a m-sample semiparametric model
An m-sample semiparametric model in which the ratio of m - 1 probability density functions with respect to the mth is of a known parametric form without reference to any parametri...
Jean-Baptiste Aubin, Samuela Leoni-Aubin
JMLR
2008
83views more  JMLR 2008»
13 years 7 months ago
Evidence Contrary to the Statistical View of Boosting
The statistical perspective on boosting algorithms focuses on optimization, drawing parallels with maximum likelihood estimation for logistic regression. In this paper we present ...
David Mease, Abraham Wyner
EOR
2007
92views more  EOR 2007»
13 years 7 months ago
Modelling profitability using survival combination scores
The paper presents the first empirical investigation of the relationship between present value of net revenue from a revolving credit account and times to default and to second pu...
Galina Andreeva, Jake Ansell, Jonathan Crook
IJMI
2002
108views more  IJMI 2002»
13 years 7 months ago
Learning anchor verbs for biological interaction patterns from published text articles
: Much of knowledge modeling in the molecular biology domain involves interactions between proteins, genes, various forms of RNA, small molecules, etc. Interactions between these s...
Vasileios Hatzivassiloglou, Wubin Weng
JAMDS
2002
107views more  JAMDS 2002»
13 years 7 months ago
Estimating a resource selection function with line transect sampling
Abstract. A resource selection probability function is a function that gives the probability that a resource unit (e.g., a plot of land) that is described by a set of habitat varia...
Bryan F. J. Manly