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ICANN
2007
Springer
14 years 1 months ago
MaxSet: An Algorithm for Finding a Good Approximation for the Largest Linearly Separable Set
Finding the largest linearly separable set of examples for a given Boolean function is a NP-hard problem, that is relevant to neural network learning algorithms and to several prob...
Leonardo Franco, José Luis Subirats, Jos&ea...
CHES
2005
Springer
155views Cryptology» more  CHES 2005»
14 years 1 months ago
Scalable Hardware for Sparse Systems of Linear Equations, with Applications to Integer Factorization
Motivated by the goal of factoring large integers using the Number Field Sieve, several special-purpose hardware designs have been recently proposed for solving large sparse system...
Willi Geiselmann, Adi Shamir, Rainer Steinwandt, E...
AUTOMATICA
2007
103views more  AUTOMATICA 2007»
13 years 7 months ago
Lexicographic perturbation for multiparametric linear programming with applications to control
Optimal control problems for constrained linear systems with a linear cost can be posed as multiparametric linear programs with a parameter in the cost, or equivalently the right-...
Colin Neil Jones, Eric C. Kerrigan, Jan M. Maciejo...
CSC
2006
13 years 9 months ago
An Algorithm to Solve a Linear Program
: This work is about an algorithm for solving a linear program which is simple to apply. There are three algorithms in this work. The first algorithm solves a two-variable linear p...
Rajan Alex
CORR
2011
Springer
202views Education» more  CORR 2011»
13 years 2 months ago
Online Least Squares Estimation with Self-Normalized Processes: An Application to Bandit Problems
The analysis of online least squares estimation is at the heart of many stochastic sequential decision-making problems. We employ tools from the self-normalized processes to provi...
Yasin Abbasi-Yadkori, Dávid Pál, Csa...