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ICML
2004
IEEE
16 years 1 months ago
Approximate inference by Markov chains on union spaces
A standard method for approximating averages in probabilistic models is to construct a Markov chain in the product space of the random variables with the desired equilibrium distr...
Max Welling, Michal Rosen-Zvi, Yee Whye Teh
92
Voted
FMSD
2006
104views more  FMSD 2006»
15 years 17 days ago
Some ways to reduce the space dimension in polyhedra computations
Convex polyhedra are often used to approximate sets of states of programs involving numerical variables. The manipulation of convex polyhedra relies on the so-called double descri...
Nicolas Halbwachs, David Merchat, Laure Gonnord
JSS
2008
97views more  JSS 2008»
15 years 16 days ago
Industrial validation of COVAMOF
COVAMOF is a variability management framework for product families that was developed to reduce the number of iterations required during product derivation and to reduce the depen...
Marco Sinnema, Sybren Deelstra
110
Voted
TEC
2008
118views more  TEC 2008»
15 years 14 days ago
RM-MEDA: A Regularity Model-Based Multiobjective Estimation of Distribution Algorithm
Under mild conditions, it can be induced from the Karush-Kuhn-Tucker condition that the Pareto set, in the decision space, of a continuous multiobjective optimization problem is (m...
Qingfu Zhang, Aimin Zhou, Yaochu Jin
CEC
2008
IEEE
15 years 7 months ago
Examination of multi-objective optimization method for global search using DIRECT and GA
— A number of multi-objective genetic algorithms (MOGAs) have been developed to obtain Pareto optimal solutions for multi-objective optimization problems. However, as these metho...
Luyi Wang, Hiroyuki Ishida, Tomoyuki Hiroyasu, Mit...