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DIS
2009
Springer
13 years 12 months ago
An Iterative Learning Algorithm for Within-Network Regression in the Transductive Setting
Within-network regression addresses the task of regression in partially labeled networked data where labels are sparse and continuous. Data for inference consist of entities associ...
Annalisa Appice, Michelangelo Ceci, Donato Malerba
CSDA
2008
122views more  CSDA 2008»
13 years 5 months ago
Time-adaptive quantile regression
An algorithm for time-adaptive quantile regression is presented. The algorithm is based on the simplex algorithm, and the linear optimization formulation of the quantile regressio...
Jan Kloppenborg Møller, Henrik Aalborg Niel...
EVOW
2003
Springer
13 years 10 months ago
Search Space Analysis of the Linear Ordering Problem
Abstract. The Linear Ordering Problem (LOP) is an NP-hard combinatorial optimization problem that arises in a variety of applications and several algorithmic approaches to its solu...
Tommaso Schiavinotto, Thomas Stützle
MOR
2008
81views more  MOR 2008»
13 years 5 months ago
Risk Tuning with Generalized Linear Regression
A framework is set up in which linear regression, as a way of approximating a random variable by other random variables, can be carried out in a variety of ways, which moreover ca...
R. Tyrrell Rockafellar, Stan Uryasev, Michael Zaba...
ANOR
2002
77views more  ANOR 2002»
13 years 5 months ago
Conditional Median: A Parametric Solution Concept for Location Problems
Classical approaches to location problems are based on the minimization of the average distance (the median concept) or the minimization of the maximum distance (the center concept...
Wlodzimierz Ogryczak, Mariusz Zawadzki