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IPCO
2001
95views Optimization» more  IPCO 2001»
15 years 7 months ago
Bisubmodular Function Minimization
This paper presents the first combinatorial polynomial algorithm for minimizing bisubmodular functions, extending the scaling algorithm for submodular function minimization due to ...
Satoru Fujishige, Satoru Iwata
NA
2008
203views more  NA 2008»
15 years 6 months ago
Block Krylov-Schur method for large symmetric eigenvalue problems
Stewart's Krylov-Schur algorithm offers two advantages over Sorensen's implicitly restarted Arnoldi (IRA) algorithm. The first is ease of deflation of converged Ritz vect...
Yunkai Zhou, Yousef Saad
NIPS
2003
15 years 7 months ago
AUC Optimization vs. Error Rate Minimization
The area under an ROC curve (AUC) is a criterion used in many applications to measure the quality of a classification algorithm. However, the objective function optimized in most...
Corinna Cortes, Mehryar Mohri
ANTS
2004
Springer
106views Algorithms» more  ANTS 2004»
15 years 11 months ago
The Discrete Logarithm in Logarithmic -Class Groups and Its Applications in K-theory
We present an algorithm for the computation of the discrete logarithm in logarithmic -Class Groups. This is applied to the calculation to the -rank of the wild kernel WK2 of a numb...
Sebastian Pauli, Florence Soriano-Gafiuk
ISNN
2004
Springer
15 years 11 months ago
Sparse Bayesian Learning Based on an Efficient Subset Selection
Based on rank-1 update, Sparse Bayesian Learning Algorithm (SBLA) is proposed. SBLA has the advantages of low complexity and high sparseness, being very suitable for large scale pr...
Liefeng Bo, Ling Wang, Licheng Jiao