80 search results - page 12 / 16 » Learning non-stationary conditional probability distribution... |
VLSISP
1998
13 years 9 months ago
1998
This paper presents an adaptive structure self-organizing finite mixture network for quantification of magnetic resonance (MR) brain image sequences. We present justification fo...
DCG
2008
13 years 10 months ago
2008
Recently there has been a lot of interest in geometrically motivated approaches to data analysis in high dimensional spaces. We consider the case where data is drawn from sampling...
ICIC
2005
Springer
14 years 3 months ago
2005
Springer
Abstract. As the information in the internet proliferates, the methods for effectively providing the information have been exploited, especially in conversational agents. Bayesian ...
AMAI
2004
Springer
14 years 3 months ago
2004
Springer
Learning the parameters (conditional and marginal probabilities) from a data set is a common method of building a belief network. Consider the situation where we have known graph s...
MOBISYS
2007
ACM
14 years 9 months ago
2007
ACM
Ubiquitous connectivity on mobile devices will enable numerous new applications in healthcare and multimedia. We set out to check how close we are towards ubiquitous connectivity ...