521 search results - page 85 / 105 » Approximation Algorithms for Stochastic Inventory Control Mo... |
JMLR
2010
13 years 7 months ago
2010
Sparse coding—that is, modelling data vectors as sparse linear combinations of basis elements—is widely used in machine learning, neuroscience, signal processing, and statisti...
CDC
2009
IEEE
14 years 1 months ago
2009
IEEE
— We present a near-optimal deterministic filter for systems that evolve on the unit circle. Unlike suboptimal filtering algorithms that rely on approximations of the system, t...
GECCO
2005
Springer
14 years 2 months ago
2005
Springer
Typical applications of evolutionary optimization in static environments involve the approximation of the extrema of functions. For dynamic environments, the interest is not to lo...
TACAS
1998
Springer
14 years 20 days ago
1998
Springer
This paper enables symbolic ternary simulation of systems with large embedded memories. Each memory array is replaced with a behavioral model, where the number of symbolic variable...
GECCO
2008
Springer
13 years 9 months ago
2008
Springer
Evolutionary Algorithms’ (EAs’) application to real world optimization problems often involves expensive fitness function evaluation. Naturally this has a crippling effect on ...