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» Decomposing replicable functions
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CORR
2008
Springer
99views Education» more  CORR 2008»
13 years 7 months ago
Decomposing replicable functions
We describe an algorithm to decompose rational functions from which we determine the poset of groups fixing these functions.
John McKay, David Sevilla
ICA
2012
Springer
12 years 2 months ago
On Revealing Replicating Structures in Multiway Data: A Novel Tensor Decomposition Approach
A novel tensor decomposition called pattern or P-decomposition is proposed to make it possible to identify replicating structures in complex data, such as textures and patterns in ...
Anh Huy Phan, Andrzej Cichocki, Petr Tichavsk&yacu...
CORR
2010
Springer
144views Education» more  CORR 2010»
13 years 7 months ago
Efficient Minimization of Decomposable Submodular Functions
Many combinatorial problems arising in machine learning can be reduced to the problem of minimizing a submodular function. Submodular functions are a natural discrete analog of co...
Peter Stobbe, Andreas Krause
IJAR
2008
88views more  IJAR 2008»
13 years 7 months ago
Clustering decomposed belief functions using generalized weights of conflict
We develop a method for clustering all types of belief functions, in particular non-consonant belief functions. Such clustering is done when the belief functions concern multiple ...
Johan Schubert
CSCLP
2008
Springer
13 years 9 months ago
An Efficient Decision Procedure for Functional Decomposable Theories Based on Dual Constraints
Abstract. Over the last decade, first-order constraints have been efficiently used in the artificial intelligence world to model many kinds of complex problems such as: scheduling,...
Khalil Djelloul