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ACL
2009
13 years 6 months ago
Stochastic Gradient Descent Training for L1-regularized Log-linear Models with Cumulative Penalty
Stochastic gradient descent (SGD) uses approximate gradients estimated from subsets of the training data and updates the parameters in an online fashion. This learning framework i...
Yoshimasa Tsuruoka, Jun-ichi Tsujii, Sophia Anania...
SIAMJO
2002
149views more  SIAMJO 2002»
13 years 8 months ago
Semidefinite Programs: New Search Directions, Smoothing-Type Methods, and Numerical Results
Motivated by some results for linear programs and complementarity problems, this paper gives some new characterizations of the central path conditions for semidefinite programs. Ex...
Christian Kanzow, Christian Nagel
EOR
2010
160views more  EOR 2010»
13 years 8 months ago
A modified alternating direction method for convex quadratically constrained quadratic semidefinite programs
We propose a modified alternate direction method for solving convex quadratically constrained quadratic semidefinite optimization problems. The method is a first-order method, the...
Jie Sun, Su Zhang
MICS
2007
100views more  MICS 2007»
13 years 8 months ago
A New Method for Real Root Isolation of Univariate Polynomials
A new algorithm for real root isolation of univariate polynomials is proposed, which is mainly based on exact interval arithmetic and bisection method. Although exact interval arit...
Ting Zhang, Bican Xia
JCC
2010
116views more  JCC 2010»
13 years 7 months ago
A comment to the nudged elastic band method
: The minimum energy path (MEP) is an important reaction path concept of theoretical chemistry, and the nudged elastic band (NEB) method with its many facets is a central method to...
Wolfgang Quapp, Josep Maria Bofill