Sciweavers

1414 search results - page 126 / 283
» Randomness and Universal Machines
Sort
View
CORR
2007
Springer
103views Education» more  CORR 2007»
13 years 10 months ago
Physical limits of inference
We show that physical devices that perform observation, prediction, or recollection share an underlying mathematical structure. We call devices with that structure “inference de...
David H. Wolpert
ICS
1997
Tsinghua U.
14 years 2 months ago
Optimizing Matrix Multiply Using PHiPAC: A Portable, High-Performance, ANSI C Coding Methodology
Modern microprocessors can achieve high performance on linear algebra kernels but this currently requires extensive machine-speci c hand tuning. We have developed a methodology wh...
Jeff Bilmes, Krste Asanovic, Chee-Whye Chin, James...
CHI
2011
ACM
13 years 1 months ago
Modeling users of intelligent systems
While many devices today increasingly have the ability to predict human activities, it is still difficult to build accurate personalized machine learning models. As users today wi...
Stephanie Rosenthal
IPPS
2005
IEEE
14 years 3 months ago
Processor Allocation for Tasks that is Robust Against Errors in Computation Time Estimates
Heterogeneous computing systems composed of interconnected machines with varied computational capabilities often operate in environments where there may be sudden machine failures...
Prasanna Sugavanam, Howard Jay Siegel, Anthony A. ...
CVPR
2009
IEEE
1081views Computer Vision» more  CVPR 2009»
15 years 5 months ago
Learning Real-Time MRF Inference for Image Denoising
Many computer vision problems can be formulated in a Bayesian framework with Markov Random Field (MRF) or Conditional Random Field (CRF) priors. Usually, the model assumes that ...
Adrian Barbu (Florida State University)