(Enter summary)
Abstract: As probabilistic computations play an increasing role in solving
various problems, researchers have designed probabilistic
languages that treat probability distributions as primitive
datatypes. Most probabilistic languages, however, focus
only on discrete distributions and have limited expressive
power. In this paper, we present a probabilistic language,
called ## , which uniformly supports all kinds of probability
distributions -- discrete distributions, continuous distributions,
and even... (Update)
Cited by: More
A Probabilistic Language based upon Sampling Functions - Sungwoo Park Frank (2004)
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1.2: A Programming Language for Probabilistic Computation - Park (2005)
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1.1: A Monadic Probabilistic Language - Park, Pfenning, Thrun
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0.9: A Calculus for Probabilistic Languages - Sungwoo Park School (2003)
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BibTeX entry: (Update)
S. Park, F. Pfenning, and S. Thrun. A probabilistic language based upon sampling functions. Technical Report CMU-CS-04-173, School of Computer Science, Carnegie Mellon University, 2004. http://citeseer.ist.psu.edu/article/park04probabilistic.html More
@misc{ park04probabilistic,
author = "S. Park and F. Pfenning and S. Thrun",
title = "A probabilistic language based upon sampling functions",
text = "S. Park, F. Pfenning, and S. Thrun. A probabilistic language based upon
sampling functions. Technical Report CMU-CS-04-173, School of Computer Science,
Carnegie Mellon University, 2004.",
year = "2004",
url = "citeseer.ist.psu.edu/article/park04probabilistic.html" }
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A probabilistic language based upon sampling functions
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