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AAAI
1998
15 years 5 months ago
"Squeaky Wheel" Optimization
We describe a general approach to optimization which we term Squeaky Wheel" Optimization SWO. In SWO, a greedy algorithm is used to construct a solution which is then analyze...
David Joslin, David P. Clements
UAI
2003
15 years 5 months ago
Learning Continuous Time Bayesian Networks
Continuous time Bayesian networks (CTBN) describe structured stochastic processes with finitely many states that evolve over continuous time. A CTBN is a directed (possibly cycli...
Uri Nodelman, Christian R. Shelton, Daphne Koller
SODA
2000
ACM
114views Algorithms» more  SODA 2000»
15 years 5 months ago
Typical random 3-SAT formulae and the satisfiability threshold
: k-SAT is one of the best known among a wide class of random constraint satisfaction problems believed to exhibit a threshold phenomenon where the control parameter is the ratio, ...
Olivier Dubois, Yacine Boufkhad, Jacques Mandler
DAGSTUHL
1996
15 years 5 months ago
A Self-Applicable Supercompiler
A supercompiler is a program which can performa deep transformation of programsusing a principle which is similarto partial evaluation, and can be referred to as metacomputation. ...
Andrei P. Nemytykh, Victoria A. Pinchuk, Valentin ...
GECCO
2008
Springer
143views Optimization» more  GECCO 2008»
15 years 5 months ago
Enhanced generalized ant programming (EGAP)
This paper begins by reviewing different methods of automatic programming while emphasizing the technique of Ant Programming (AP). AP uses an ant foraging metaphor in which ants g...
Amirali Salehi-Abari, Tony White
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