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AI
2002
Springer
15 years 3 months ago
Learning Bayesian networks from data: An information-theory based approach
This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop e...
Jie Cheng, Russell Greiner, Jonathan Kelly, David ...
AROBOTS
2002
98views more  AROBOTS 2002»
15 years 3 months ago
Dynamically-Stable Motion Planning for Humanoid Robots
We present an approach to path planning for humanoid robots that computes dynamically-stable, collision-free trajectories from full-body posture goals. Given a geometric model of t...
James J. Kuffner Jr., Satoshi Kagami, Koichi Nishi...
137
Voted
BC
2002
85views more  BC 2002»
15 years 3 months ago
Spike propagation synchronized by temporally asymmetric Hebbian learning
Synchronously spiking neurons have been observed in the cerebral cortex and the hippocampus. In computer models, synchronous spike volleys may be propagated across appropriately co...
Roland E. Suri, Terrence J. Sejnowski
CAD
2004
Springer
15 years 3 months ago
Teaching meshes, subdivision and multiresolution techniques
In recent years, geometry processing algorithms that directly operate on polygonal meshes have become an indispensable tool in computer graphics, CAD/CAM applications, numerical s...
Stephan Bischoff, Leif Kobbelt
CCE
2004
15 years 3 months ago
An algorithmic framework for improving heuristic solutions: Part II. A new version of the stochastic traveling salesman problem
The algorithmic framework developed for improving heuristic solutions of the new version of deterministic TSP [Choi et al., 2002] is extended to the stochastic case. To verify the...
Jaein Choi, Jay H. Lee, Matthew J. Realff
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