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TON
2002
82views more  TON 2002»
15 years 1 months ago
On multicast flow control for heterogeneous receivers
In this paper, we study the impact of heterogeneous receivers on the throughput of multicast flow control and propose a new multicast flow control algorithm to optimally partition ...
Rung-Hung Gau, Zygmunt J. Haas, Bhaskar Krishnamac...
ICML
2009
IEEE
16 years 2 months ago
Robot trajectory optimization using approximate inference
The general stochastic optimal control (SOC) problem in robotics scenarios is often too complex to be solved exactly and in near real time. A classical approximate solution is to ...
Marc Toussaint
FOCS
2008
IEEE
15 years 8 months ago
The Bayesian Learner is Optimal for Noisy Binary Search (and Pretty Good for Quantum as Well)
We use a Bayesian approach to optimally solve problems in noisy binary search. We deal with two variants: • Each comparison is erroneous with independent probability 1 − p. ...
Michael Ben-Or, Avinatan Hassidim
ISQED
2007
IEEE
254views Hardware» more  ISQED 2007»
15 years 8 months ago
An Aggregation-Based Algebraic Multigrid Method for Power Grid Analysis
ct This paper develops an aggregation-based algebraic multigrid (AbAMG) method to efficiently analyze the power grids. Different from the conventional algebraic multigrid (AMG) sc...
Pei-Yu Huang, Huan-Yu Chou, Yu-Min Lee
SMC
2007
IEEE
15 years 8 months ago
Enhancing embodied evolution with punctuated anytime learning
—This paper discusses a new implementation of embodied evolution that uses the concept of punctuated anytime learning to increase the complexity of tasks that the learning system...
Gary B. Parker, Gregory E. Fedynyshyn