61 search results - page 1 / 13 » Generating decision regions in analog measurement spaces |
GLVLSI
2005
IEEE
13 years 10 months ago
2005
IEEE
We develop a neural network that learns to separate the nominal from the faulty instances of a circuit in a measurement space. We demonstrate that the required separation boundari...
DATE
2009
IEEE
13 years 11 months ago
2009
IEEE
Abstract— This paper discusses the generation of informationrich, arbitrarily-large synthetic data sets which can be used to (a) efficiently learn tests that correlate a set of ...
CMIG
2011
12 years 8 months ago
2011
In this paper, a method is described to automatically estimate the visible body region of a computed tomography (CT) volume image. In order to quantify the body region, a body coo...
UAI
1998
13 years 6 months ago
1998
tigate the use of temporally abstract actions, or macro-actions, in the solution of Markov decision processes. Unlike current models that combine both primitive actions and macro-...
RSKT
2009
Springer
13 years 11 months ago
2009
Springer
A game-theoretic approach for learning optimal parameter values for probabilistic rough set regions is presented. The parameters can be used to define approximation regions in a p...