624 search results - page 31 / 125 » The Tradeoffs of Large Scale Learning |
ECCV
2010
Springer
13 years 9 months ago
2010
Springer
We present an approach to multiscale image analysis. It hinges on an operative definition of texture that involves a "small region", where some (unknown) statistic is agg...
GECCO
2008
Springer
13 years 9 months ago
2008
Springer
This paper merges hierarchical reinforcement learning (HRL) with ant colony optimization (ACO) to produce a HRL ACO algorithm capable of generating solutions for large domains. Th...
ECOOP
2009
Springer
14 years 8 months ago
2009
Springer
Pointer analyses derived from a Context-Free-Language (CFL) reachability formulation achieve very high precision, but they do not scale well to compute the points-to solution for a...
ICNP
2006
IEEE
14 years 1 months ago
2006
IEEE
— IP routing scalability is based on hierarchical routing, which requires that the IP address hierarchy be aligned with the physical topology. Both site multi-homing and switchin...
ML
2002
ACM
13 years 7 months ago
2002
ACM
An issue that is critical for the application of Markov decision processes MDPs to realistic problems is how the complexity of planning scales with the size of the MDP. In stochas...