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GECCO
2007
Springer
256views Optimization» more  GECCO 2007»
16 years 15 days ago
A particle swarm optimization approach for estimating parameter confidence regions
Point estimates of the parameters in real world models convey valuable information about the actual system. However, parameter comparisons and/or statistical inference requires de...
Praveen Koduru, Stephen Welch, Sanjoy Das
KR
2004
Springer
15 years 11 months ago
Planning Graphs and Knowledge Compilation
One of the major advances in classical planning has been the development of Graphplan. Graphplan builds a layered structure called the planning graph, and then searches this struc...
Hector Geffner
ANTSW
2008
Springer
15 years 8 months ago
Adaptive Particle Swarm Optimization
An adaptive particle swarm optimization (APSO) that features better search efficiency than classical particle swarm optimization (PSO) is presented. More importantly, it can perfor...
Zhi-hui Zhan, Jun Zhang
MASCOTS
2003
15 years 7 months ago
Minimizing Packet Loss by Optimizing OSPF Weights Using Online Simulation
In this paper, we present a scheme for minimizing packet loss in OSPF networks by optimizing link weights using Online Simulation. We have chosen packet loss rate in the network a...
Hema Tahilramani Kaur, Tao Ye, Shivkumar Kalyanara...
TIP
1998
240views more  TIP 1998»
15 years 6 months ago
DCT-based motion estimation
—We propose novel discrete cosine transform (DCT) pseudophase techniques to estimate shift/delay between two onedimensional (1-D) signals directly from their DCT coefficients by...
Ut-Va Koc, K. J. Ray Liu