256 search results - page 8 / 52 » Uncertainties in Bayesian Geometric Models |
NIPS
2007
14 years 11 months ago
2007
Generalized linear models are the most commonly used tools to describe the stimulus selectivity of sensory neurons. Here we present a Bayesian treatment of such models. Using the ...
69
Voted
SYNTHESE
2008
14 years 9 months ago
2008
Abstract We argue that in the decision making process required for selecting assertible vague descriptions of an object, it is practical that communicating agents adopt an epistemi...
82
Voted
NIPS
1996
14 years 10 months ago
1996
Model learning combined with dynamic programming has been shown to be e ective for learning control of continuous state dynamic systems. The simplest method assumes the learned mod...
GAMESEC
2010
14 years 7 months ago
2010
Abstract. Even the most well-motivated models of information security have application limitations due to the inherent uncertainties involving risk. This paper exemplifies a formal...
ICALT
2007
IEEE
15 years 3 months ago
2007
IEEE
This work proposes the exploration of student’s information through the use of Bayesian Networks. By using thisapproach we aim to model the uncertainty inherent to the studentâ€...