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» Approximability of Probability Distributions
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116
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JMLR
2010
92views more  JMLR 2010»
14 years 10 months ago
Posterior distributions are computable from predictive distributions
As we devise more complicated prior distributions, will inference algorithms keep up? We highlight a negative result in computable probability theory by Ackerman, Freer, and Roy (...
Cameron E. Freer, Daniel M. Roy
BMCBI
2005
84views more  BMCBI 2005»
15 years 3 months ago
A note on generalized Genome Scan Meta-Analysis statistics
Background: Wise et al. introduced a rank-based statistical technique for meta-analysis of genome scans, the Genome Scan Meta-Analysis (GSMA) method. Levinson et al. recently desc...
James A. Koziol, Anne C. Feng
SODA
2001
ACM
147views Algorithms» more  SODA 2001»
15 years 4 months ago
Sublinear time approximate clustering
Clustering is of central importance in a number of disciplines including Machine Learning, Statistics, and Data Mining. This paper has two foci: 1 It describes how existing algori...
Nina Mishra, Daniel Oblinger, Leonard Pitt
149
Voted
SIGMOD
2011
ACM
249views Database» more  SIGMOD 2011»
14 years 6 months ago
ProApproX: a lightweight approximation query processor over probabilistic trees
We demonstrate a system for querying probabilistic XML documents with simple XPath queries. A user chooses between a variety of query answering techniques, both exact and approxim...
Pierre Senellart, Asma Souihli
SEMWEB
2007
Springer
15 years 9 months ago
Approximate Measures of Semantic Dissimilarity under Uncertainty
Abstract. We propose semantic distance measures based on the criterion of approximate discernibility and on evidence combination. In the presence of incomplete knowledge, the dista...
Nicola Fanizzi, Claudia d'Amato, Floriana Esposito