1137 search results - page 121 / 228 » Parametric Process Model Inference |
SYNTHESE
2008
13 years 8 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...
ICML
2009
IEEE
14 years 9 months ago
2009
IEEE
Semi-supervised learning (SSL), is classification where additional unlabeled data can be used to improve accuracy. Generative approaches are appealing in this situation, as a mode...
ICA
2010
Springer
13 years 9 months ago
2010
Springer
We develop a probabilistic modeling framework for multiway arrays. Our framework exploits the link between graphical models and tensor factorization models and it can realize any ...
ALT
2004
Springer
14 years 5 months ago
2004
Springer
Different formal learning models address different aspects of learning. Below we compare learning via queries—interpreting learning as a one-shot process in which the learner i...
IROS
2008
IEEE
14 years 3 months ago
2008
IEEE
— Legged robots require accurate models of their environment in order to plan and execute paths. We present a probabilistic technique based on Gaussian processes that allows terr...