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CORR
2010
Springer
160views Education» more  CORR 2010»
15 years 19 days ago
Scalable Probabilistic Databases with Factor Graphs and MCMC
Incorporating probabilities into the semantics of incomplete databases has posed many challenges, forcing systems to sacrifice modeling power, scalability, or treatment of relatio...
Michael L. Wick, Andrew McCallum, Gerome Miklau
CSR
2007
Springer
15 years 6 months ago
Decidability of Parameterized Probabilistic Information Flow
In this paper, we consider the decidability of two problems related to information flow in a system with respect to some property. A flow occurs in a system if the conditional pr...
Danièle Beauquier, Marie Duflot, Yury Lifsh...
NIPS
2004
15 years 1 months ago
Semi-supervised Learning with Penalized Probabilistic Clustering
While clustering is usually an unsupervised operation, there are circumstances in which we believe (with varying degrees of certainty) that items A and B should be assigned to the...
Zhengdong Lu, Todd K. Leen
COMBINATORICS
2006
105views more  COMBINATORICS 2006»
15 years 17 days ago
Sets of Points Determining Only Acute Angles and Some Related Colouring Problems
We present both probabilistic and constructive lower bounds on the maximum size of a set of points S Rd such that every angle determined by three points in S is acute, considerin...
David Bevan
104
Voted
IJAR
2006
89views more  IJAR 2006»
15 years 15 days ago
Learning probabilistic decision graphs
Probabilistic decision graphs (PDGs) are a representation language for probability distributions based on binary decision diagrams. PDGs can encode (context-specific) independence...
Manfred Jaeger, Jens D. Nielsen, Tomi Silander