Sciweavers

1972 search results - page 77 / 395
» Evolutionary algorithms and dynamic programming
Sort
View
EACL
2009
ACL Anthology
14 years 9 months ago
Cube Summing, Approximate Inference with Non-Local Features, and Dynamic Programming without Semirings
We introduce cube summing, a technique that permits dynamic programming algorithms for summing over structures (like the forward and inside algorithms) to be extended with non-loc...
Kevin Gimpel, Noah A. Smith
SIGPRO
2008
201views more  SIGPRO 2008»
13 years 9 months ago
Multichannel blind seismic deconvolution using dynamic programming
In this paper, we present an algorithm for multichannel blind deconvolution of seismic signals, which exploits lateral continuity of earth layers by dynamic programming approach. ...
Alon Heimer, Israel Cohen
GECCO
2006
Springer
215views Optimization» more  GECCO 2006»
14 years 26 days ago
A multi-chromosome approach to standard and embedded cartesian genetic programming
Embedded Cartesian Genetic Programming (ECGP) is an extension of Cartesian Genetic Programming (CGP) that can automatically acquire, evolve and re-use partial solutions in the for...
James Alfred Walker, Julian Francis Miller, Rachel...
AAAI
2010
13 years 10 months ago
Trial-Based Dynamic Programming for Multi-Agent Planning
Trial-based approaches offer an efficient way to solve singleagent MDPs and POMDPs. These approaches allow agents to focus their computations on regions of the environment they en...
Feng Wu, Shlomo Zilberstein, Xiaoping Chen
GECCO
2005
Springer
163views Optimization» more  GECCO 2005»
14 years 2 months ago
Benefits of software measures for evolutionary white-box testing
White-box testing is an important method for the early detection of errors during software development. In this process test case generation plays a crucial role, defining appropr...
Frank Lammermann, Stefan Wappler