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» Generalization Bounds for Some Ordinal Regression Algorithms
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SIAMCO
2000
71views more  SIAMCO 2000»
13 years 8 months ago
On a Perturbation Approach for the Analysis of Stochastic Tracking Algorithms
In this paper, a perturbation expansion technique is introduced to decompose the tracking error of a general adaptive tracking algorithm in a linear regression model. This method ...
Rafik Aguech, Eric Moulines, Pierre Priouret
TIT
2002
72views more  TIT 2002»
13 years 8 months ago
Principal curves with bounded turn
Principal curves, like principal components, are a tool used in multivariate analysis for ends like feature extraction. Defined in their original form, principal curves need not ex...
S. Sandilya, Sanjeev R. Kulkarni
SAC
2006
ACM
14 years 2 months ago
A branch and prune algorithm for the approximation of non-linear AE-solution sets
Non-linear AE-solution sets are a special case of parametric systems of equations where universally quantified parameters appear first. They allow to model many practical situat...
Alexandre Goldsztejn
COMPGEOM
2011
ACM
13 years 11 hour ago
On the structure and composition of forbidden sequences, with geometric applications
Forbidden substructure theorems have proved to be among of the most versatile tools in bounding the complexity of geometric objects and the running time of geometric algorithms. T...
Seth Pettie
LATIN
2010
Springer
14 years 3 months ago
Gradual Sub-lattice Reduction and a New Complexity for Factoring Polynomials
We present a lattice algorithm specifically designed for some classical applications of lattice reduction. The applications are for lattice bases with a generalized knapsack-type ...
Mark van Hoeij, Andrew Novocin