Optimum Probability Estimation from Empirical Distributions

Optimum Probability Estimation from Empirical Distributions (1989)

by Norbert Fuhr , Hubert Hüther

Venue:	INFORMATION PROCESSING AND MANAGEMENT
Citations:	7 - 4 self

User correction supplied by mph

Datum	Value	Source
TITLE	Optimum Probability Estimation from Empirical Distributions	SVM HeaderParse 0.2
AUTHOR NAME	Norbert Fuhr	user correction
AUTHOR AFFIL	Technische Hochschule Darmstadt, Fachbereich Informatik	user correction
AUTHOR ADDR	Karolinenplatz 5, D-6100 Darmstadt / West Germany	user correction
AUTHOR NAME	Hubert Hüther	user correction
AUTHOR AFFIL	Technische Hochschule Darmstadt, Fachbereich Informatik	user correction
AUTHOR ADDR	Karolinenplatz 5, D-6100 Darmstadt / West Germany	user correction
ABSTRACT	Probability estimation is important for the application of probabilistic models as well as for any evaluation in IR. We discuss the interdependencies between parameter estimation and certain properties of probabilistic models: dependence assumptions, binary vs. nonbinary features, estimation sample selection. Then we define an optimum estimate for binary features which can be applied to various typical estimation problems in IR. A method for computing this estimate using empirical data is described. Some experiments show the applicability of our method, whereas comparable approaches are partially based on false assumptions or yield biased estimates.	user correction
YEAR	1989	INFERENCE
VENUE	INFORMATION PROCESSING AND MANAGEMENT	user correction
VENUE TYPE	CONFERENCE	INFERENCE
PAGES	493--507	INFERENCE
VOLUME	25	INFERENCE
CITATIONS	29 found	ParsCit 1.0