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» On the Algebraic Structure of Convergence
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PKDD
2007
Springer
102views Data Mining» more  PKDD 2007»
16 years 16 days ago
Towards Data Mining Without Information on Knowledge Structure
Most knowledge discovery processes are biased since some part of the knowledge structure must be given before extraction. We propose a framework that avoids this bias by supporting...
Alexandre Vautier, Marie-Odile Cordier, Rene Quini...
ISSAC
1997
Springer
142views Mathematics» more  ISSAC 1997»
15 years 10 months ago
The Structure of Sparse Resultant Matrices
Resultants characterize the existence of roots of systems of multivariate nonlinear polynomial equations, while their matrices reduce the computation of all common zeros to a prob...
Ioannis Z. Emiris, Victor Y. Pan
JLP
2006
81views more  JLP 2006»
15 years 6 months ago
Development graphs - Proof management for structured specifications
Development graphs are a tool for dealing with structured specifications in a formal program development in order to ease the management of change and reusing proofs. In this work...
Till Mossakowski, Serge Autexier, Dieter Hutter
IJAR
2010
113views more  IJAR 2010»
15 years 4 months ago
A geometric view on learning Bayesian network structures
We recall the basic idea of an algebraic approach to learning Bayesian network (BN) structures, namely to represent every BN structure by a certain (uniquely determined) vector, c...
Milan Studený, Jirí Vomlel, Raymond ...
IJAR
2011
86views more  IJAR 2011»
14 years 9 months ago
On open questions in the geometric approach to structural learning Bayesian nets
The basic idea of an algebraic approach to learning Bayesian network (BN) structures is to represent every BN structure by a certain uniquely determined vector, called the standar...
Milan Studený, Jirí Vomlel