197 search results - page 12 / 40 » Complexity of Max-SAT using stochastic algorithms |
UAI
2001
14 years 11 months ago
2001
There is increasing interest within the research community in the design and use of recursive probability models. There remains concern about computational complexity costs and th...
JCB
2006
14 years 9 months ago
2006
A stochastic genetic toggle switch model that consists of two identical, mutually repressive genes is built using the Gillespie algorithm with time delays as an example of a simpl...
HPCC
2007
Springer
15 years 3 months ago
2007
Springer
Many optimization techniques have been adopted for efficient job scheduling in grid computing, such as: genetic algorithms, simulated annealing and stochastic methods. Such techni...
ROBOCUP
2007
Springer
15 years 3 months ago
2007
Springer
Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
AAAI
2011
13 years 9 months ago
2011
Many algorithms for performing inference in graphical models have complexity that is exponential in the treewidth - a parameter of the underlying graph structure. Computing the (m...