1617 search results - page 31 / 324 » Using Gaussian Processes to Optimize Expensive Functions |
NIPS
1994
13 years 9 months ago
1994
For many types of machine learning algorithms, one can compute the statistically optimal" way to select training data. In this paper, we review how optimal data selection tec...
DCC
2008
IEEE
14 years 7 months ago
2008
IEEE
This paper presents a proof of the rate distortion function of a Poisson process with a queuing distortion measure that is in complete analogy with the proofs associated with the ...
IPPS
2005
IEEE
14 years 1 months ago
2005
IEEE
Optimizing the performance of dynamic load balancing toolkits and applications requires the adjustment of several runtime parameters; however, determining sufficiently good value...
ICIP
2000
IEEE
14 years 9 months ago
2000
IEEE
The signal-dependent rank order mean (SD-ROM) ?lter is effective at removing high levels of impulse noise from 2D scalar-valued signals. Excellent results have been presented for ...
ICCV
2009
IEEE
13 years 5 months ago
2009
IEEE
Poisson regression models the noisy output of a counting function as a Poisson random variable, with a log-mean parameter that is a linear function of the input vector. In this wo...