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MP
2002
110views more  MP 2002»
13 years 7 months ago
Robust optimization - methodology and applications
Abstract. Robust Optimization (RO) is a modeling methodology, combined with computational tools, to process optimization problems in which the data are uncertain and is only known ...
Aharon Ben-Tal, Arkadi Nemirovski
NECO
1998
171views more  NECO 1998»
13 years 7 months ago
Constrained Optimization for Neural Map Formation: A Unifying Framework for Weight Growth and Normalization
three different levels of abstraction: detailed models including ctivity dynamics, weight dynamics that abstract from the neural activity dynamics by an adiabatic approximation, an...
Laurenz Wiskott, Terrence J. Sejnowski
NN
2002
Springer
136views Neural Networks» more  NN 2002»
13 years 7 months ago
Bayesian model search for mixture models based on optimizing variational bounds
When learning a mixture model, we suffer from the local optima and model structure determination problems. In this paper, we present a method for simultaneously solving these prob...
Naonori Ueda, Zoubin Ghahramani
TIP
1998
114views more  TIP 1998»
13 years 7 months ago
An optimal polygonal boundary encoding scheme in the rate distortion sense
—In this paper, we present fast and efficient methods for the lossy encoding of object boundaries that are given as eight-connect chain codes. We approximate the boundary by a p...
Guido M. Schuster, Aggelos K. Katsaggelos
VLDB
2002
ACM
91views Database» more  VLDB 2002»
13 years 7 months ago
Parametric Query Optimization for Linear and Piecewise Linear Cost Functions
The cost of a query plan depends on many parameters, such as predicate selectivities and available memory, whose values may not be known at optimization time. Parametric query opt...
Arvind Hulgeri, S. Sudarshan