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» On Multiple Linear Approximations
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137
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NIPS
2000
15 years 5 months ago
A New Approximate Maximal Margin Classification Algorithm
A new incremental learning algorithm is described which approximates the maximal margin hyperplane w.r.t. norm p 2 for a set of linearly separable data. Our algorithm, called alm...
Claudio Gentile
115
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APPML
2007
92views more  APPML 2007»
15 years 4 months ago
Topological grammars for data approximation
A method of topological grammars is proposed for multidimensional data approximation. For data with complex topology we define a principal cubic complex of low dimension and give...
Alexander N. Gorban, Neil R. Sumner, Andrei Yu. Zi...
PRL
2006
117views more  PRL 2006»
15 years 3 months ago
Non-iterative generalized low rank approximation of matrices
: As an extension to 2DPCA, Generalized Low Rank Approximation of Matrices (GLRAM) applies two-sided (i.e., the left and right) rather than single-sided (i.e., the left or the righ...
Jun Liu, Songcan Chen
CCE
2005
15 years 3 months ago
Logic-based outer approximation for globally optimal synthesis of process networks
Process network problems can be formulated as Generalized Disjunctive Programs where a logicbased representation is used to deal with the discrete and continuous decisions. A new ...
María Lorena Bergamini, Pío A. Aguir...
106
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CORR
2010
Springer
153views Education» more  CORR 2010»
15 years 2 months ago
Approximate Judgement Aggregation
We analyze judgement aggregation problems in which a group of agents independently votes on a set of complex propositions that has some interdependency constraint between them (e....
Ilan Nehama