5785 search results - page 67 / 1157 » Approximability of Probability Distributions |
135
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POPL
2012
ACM
13 years 9 months ago
2012
ACM
There has been great interest in creating probabilistic programming languages to simplify the coding of statistical tasks; however, there still does not exist a formal language th...
131
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FLAIRS
2006
15 years 2 months ago
2006
In real-life decision analysis, the probabilities and values of consequences are in general vague and imprecise. One way to model imprecise probabilities is to represent a probabi...
112
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AAAI
2000
15 years 2 months ago
2000
We present a Bayesian clustering algorithm for multivariate time series. A clustering is regarded as a probabilistic model in which the unknown auto-correlation structure of a tim...
106
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FLAIRS
2004
15 years 2 months ago
2004
Bayesian network is a popular modeling tool for uncertain domains that provides a compact representation of a joint probability distribution among a set of variables. Even though ...
EUSFLAT
2007
15 years 2 months ago
2007
Probability intervals are imprecise probability assignments over elementary events. They constitute a very convenient tool to model uncertain information : two common cases are co...