
DempsterianShaferian Belief Network From Data
Shenoy and Shafer Shenoy:90 demonstrated that both for DempsterShafer T...
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Completeness Theorems for FirstOrder Logic Analysed in Constructive Type Theory (Extended Version)
We study various formulations of the completeness of firstorder logic p...
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Augmenting the Algebraic Connectivity of Graphs
For any undirected graph G=(V,E) and a set E_W of candidate edges with E...
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StoneType Dualities for Separation Logics
Stonetype duality theorems, which relate algebraic and relational/topol...
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Projection onto the probability simplex: An efficient algorithm with a simple proof, and an application
We provide an elementary proof of a simple, efficient algorithm for comp...
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Linear and Fisher Separability of Random Points in the ddimensional Spherical Layer
Stochastic separation theorems play important role in highdimensional d...
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Mechanization of Separation in Generic Extensions
We mechanize, in the proof assistant Isabelle, a proof of the axiomsche...
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dSeparation: From Theorems to Algorithms
An efficient algorithm is developed that identifies all independencies implied by the topology of a Bayesian network. Its correctness and maximality stems from the soundness and completeness of dseparation with respect to probability theory. The algorithm runs in time O (l E l) where E is the number of edges in the network.
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