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JMLR
2002
106views more  JMLR 2002»
13 years 9 months ago
Some Greedy Learning Algorithms for Sparse Regression and Classification with Mercer Kernels
We present some greedy learning algorithms for building sparse nonlinear regression and classification models from observational data using Mercer kernels. Our objective is to dev...
Prasanth B. Nair, Arindam Choudhury 0002, Andy J. ...
MOC
2002
131views more  MOC 2002»
13 years 9 months ago
Some baby-step giant-step algorithms for the low hamming weight discrete logarithm problem
In this paper, we present several baby-step giant-step algorithms for the low hamming weight discrete logarithm problem. In this version of the discrete log problem, we are require...
Douglas R. Stinson
TCS
2002
13 years 9 months ago
Some permutation routing algorithms for low-dimensional hypercubes
Oblivious permutation routing in binary d-cubes has been well studied in the literature. In a permutation routing, each node initially contains a packet with a destination such th...
Frank K. Hwang, Y. C. Yao, Bhaskar DasGupta
ENTCS
2010
118views more  ENTCS 2010»
13 years 7 months ago
Fragments-based Model Reduction: Some Case Studies
Molecular biological models usually suffer from a dramatic combinatorial blow up. Indeed, proteins form complexes and can modify each others, which leads to the formation of a hug...
Jérôme Feret
STOC
2005
ACM
174views Algorithms» more  STOC 2005»
14 years 10 months ago
On the average case performance of some greedy approximation algorithms for the uncapacitated facility location problem
In combinatorial optimization, a popular approach to NP-hard problems is the design of approximation algorithms. These algorithms typically run in polynomial time and are guarante...
Abraham Flaxman, Alan M. Frieze, Juan Carlos Vera