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CEC
2007
IEEE
13 years 9 months ago
A novel general framework for evolutionary optimization: Adaptive fuzzy fitness granulation
— Computational complexity is a major challenge in evolutionary algorithms due to their need for repeated fitness function evaluations. Here, we aim to reduce number of fitness f...
Mohsen Davarynejad, Mohammad R. Akbarzadeh-Totonch...
NIPS
2003
13 years 9 months ago
Semi-Supervised Learning with Trees
We describe a nonparametric Bayesian approach to generalizing from few labeled examples, guided by a larger set of unlabeled objects and the assumption of a latent tree-structure ...
Charles Kemp, Thomas L. Griffiths, Sean Stromsten,...
TOG
2008
137views more  TOG 2008»
13 years 7 months ago
Efficient traversal of mesh edges using adjacency primitives
Processing of mesh edges lies at the core of many advanced realtime rendering techniques, ranging from shadow and silhouette computations, to motion blur and fur rendering. We pre...
Pedro V. Sander, Diego Nehab, Eden Chlamtac, Hugue...
ASPLOS
2008
ACM
13 years 10 months ago
SoftSig: software-exposed hardware signatures for code analysis and optimization
Many code analysis techniques for optimization, debugging, or parallelization need to perform runtime disambiguation of sets of addresses. Such operations can be supported efficie...
James Tuck, Wonsun Ahn, Luis Ceze, Josep Torrellas
ICC
2007
IEEE
14 years 2 months ago
Optimal Distributed Multicast Routing using Network Coding
—Multicast is an important communication paradigm, also a problem well known for its difficulty (NP-completeness) to achieve certain optimization goals, such as minimum network ...
Yi Cui, Yuan Xue, Klara Nahrstedt