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» Approximation algorithms for stochastic orienteering
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79
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OSDI
2008
ACM
15 years 9 months ago
Probabilistic Inference in Queueing Networks
Although queueing models have long been used to model the performance of computer systems, they are out of favor with practitioners, because they have a reputation for requiring u...
Charles A. Sutton, Michael I. Jordan
FOCI
2007
IEEE
15 years 3 months ago
Almost All Learning Machines are Singular
— A learning machine is called singular if its Fisher information matrix is singular. Almost all learning machines used in information processing are singular, for example, layer...
Sumio Watanabe
96
Voted
EGH
2003
Springer
15 years 2 months ago
Photon mapping on programmable graphics hardware
We present a modified photon mapping algorithm capable of running entirely on GPUs. Our implementation uses breadth-first photon tracing to distribute photons using the GPU. The...
Timothy J. Purcell, Craig Donner, Mike Cammarano, ...
ICCV
1995
IEEE
15 years 1 months ago
Alignment by Maximization of Mutual Information
A new information-theoretic approach is presented for finding the pose of an object in an image. The technique does not require information about the surface properties of the ob...
Paul A. Viola, William M. Wells III
AAAI
2007
14 years 12 months ago
Thresholded Rewards: Acting Optimally in Timed, Zero-Sum Games
In timed, zero-sum games, the goal is to maximize the probability of winning, which is not necessarily the same as maximizing our expected reward. We consider cumulative intermedi...
Colin McMillen, Manuela M. Veloso