Sciweavers

534 search results - page 19 / 107
» Model Uncertainty in Classical Conditioning
Sort
View
ESANN
2007
13 years 9 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann
HEURISTICS
2006
95views more  HEURISTICS 2006»
13 years 8 months ago
Hard and soft constraints for reasoning about qualitative conditional preferences
Many real life optimization problems are defined in terms of both hard and soft constraints, and qualitative conditional preferences. However, there is as yet no single framework f...
Carmel Domshlak, Steven David Prestwich, Francesca...
MP
2006
175views more  MP 2006»
13 years 8 months ago
Conditional Value-at-Risk in Stochastic Programs with Mixed-Integer Recourse
In classical two-stage stochastic programming the expected value of the total costs is minimized. Recently, mean-risk models - studied in mathematical finance for several decades -...
Rüdiger Schultz, Stephan Tiedemann
GMP
2010
IEEE
190views Solid Modeling» more  GMP 2010»
13 years 11 months ago
Construction of Subdivision Surfaces by Fourth-Order Geometric Flows with G1 Boundary Conditions
In this paper, we present a method for constructing Loop’s subdivision surface patches with given G1 boundary conditions and a given topology of control polygon of the subdivisi...
Guoliang Xu, Qing Pan
ANOR
2002
77views more  ANOR 2002»
13 years 7 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