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» Submodular function minimization
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FLAIRS
2004
15 years 2 months ago
Iterative Improvement of Neural Classifiers
A new objective function for neural net classifier design is presented, which has more free parameters than the classical objective function. An iterative minimization technique f...
Jiang Li, Michael T. Manry, Li-min Liu, Changhua Y...
117
Voted
ICASSP
2011
IEEE
14 years 4 months ago
On the design of matched orthonormal wavelets with compact support
We develop new algorithms for designing matched wavelets and matched scaling functions using a new parametrization of compactly supported orthonormal wavelets that is developed in...
Mohamed F. Mansour
91
Voted
CALCO
2007
Springer
138views Mathematics» more  CALCO 2007»
15 years 6 months ago
Coalgebraic Foundations of Linear Systems
Abstract. Viewing discrete-time causal linear systems as (Mealy) coalgebras, we describe their semantics, minimization and realisation as universal constructions, based on the fin...
Jan J. M. M. Rutten
82
Voted
ESANN
2006
15 years 2 months ago
Determination of the Mahalanobis matrix using nonparametric noise estimations
In this paper, the problem of an optimal transformation of the input space for function approximation problems is addressed. The transformation is defined determining the Mahalanob...
Amaury Lendasse, Francesco Corona, Jin Hao, Nima R...
87
Voted
EOR
2008
85views more  EOR 2008»
15 years 22 days ago
The Linear Ordering Problem with cumulative costs
Several optimization problems require finding a permutation of a given set of items that minimizes a certain cost function. These problems are naturally modelled in graph-theory t...
Livio Bertacco, Lorenzo Brunetta, Matteo Fischetti