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CSDA
2007
100views more  CSDA 2007»
15 years 4 months ago
Convergence of random k-nearest-neighbour imputation
Random k-nearest-neighbour (RKNN) imputation is an established algorithm for filling in missing values in data sets. Assume that data are missing in a random way, so that missing...
Fredrik A. Dahl
EUSFLAT
2009
103views Fuzzy Logic» more  EUSFLAT 2009»
15 years 2 months ago
Possibility Distribution: a unified representation for parameter estimation
Abstract-- the paper presents a possibility formulation of oneparameter estimation that unifies some usual probability formulations. Point and confidence interval estimation are un...
Gilles Mauris
ACS
2011
14 years 11 months ago
The Compositional Construction of Markov Processes
We describe an algebra for composing automata in which the actions have probabilities. We illustrate by showing how to calculate the probability of reaching deadlock in k steps in...
Luisa de Francesco Albasini, Nicoletta Sabadini, R...
JMLR
2010
91views more  JMLR 2010»
14 years 11 months ago
Convexity of Proper Composite Binary Losses
A composite loss assigns a penalty to a realvalued prediction by associating the prediction with a probability via a link function then applying a class probability estimation (CP...
Mark D. Reid, Robert C. Williamson