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ISSAC
1998
Springer
101views Mathematics» more  ISSAC 1998»
15 years 10 months ago
Efficient Algorithms for Computing the Nearest Polynomial with Constrained Roots
Continuous changes of the coefficients of a polynomial move the roots continuously. We consider the problem finding the minimal perturbations to the coefficients to move a root to...
Markus A. Hitz, Erich Kaltofen
NIPS
2004
15 years 7 months ago
Computing regularization paths for learning multiple kernels
The problem of learning a sparse conic combination of kernel functions or kernel matrices for classification or regression can be achieved via the regularization by a block 1-norm...
Francis R. Bach, Romain Thibaux, Michael I. Jordan
100
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CORR
2007
Springer
74views Education» more  CORR 2007»
15 years 6 months ago
Computing Minimal Polynomials of Matrices
We present and analyse a Monte-Carlo algorithm to compute the minimal polynomial of an n × n matrix over a finite field that requires O(n3 ) field operations and O(n) random v...
Max Neunhöffer, Cheryl E. Praeger
ERCIM
2007
125views more  ERCIM 2007»
15 years 6 months ago
Workflow Management Systems for Grid Computing
With the advent of Grid and application technologies, scientists and engineers are building more and more complex applications to manage and process large data sets, and execute s...
Carmen Bratosin, Wil M. P. van der Aalst
IANDC
2007
117views more  IANDC 2007»
15 years 6 months ago
Computing the edit distance of a regular language
The edit distance (or Levenshtein distance) between two words is the smallest number of substitutions, insertions, and deletions of symbols that can be used to transform one of the...
Stavros Konstantinidis