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ICML
2007
IEEE
14 years 10 months ago
Scalable training of L1-regularized log-linear models
The l-bfgs limited-memory quasi-Newton method is the algorithm of choice for optimizing the parameters of large-scale log-linear models with L2 regularization, but it cannot be us...
Galen Andrew, Jianfeng Gao
SIAMJO
2000
108views more  SIAMJO 2000»
13 years 9 months ago
Smooth SQP Methods for Mathematical Programs with Nonlinear Complementarity Constraints
Mathematical programs with nonlinear complementarity constraints are reformulated using better-posed but nonsmooth constraints. We introduce a class of functions, parameterized by...
Houyuan Jiang, Daniel Ralph
ICC
2007
IEEE
113views Communications» more  ICC 2007»
14 years 3 months ago
Complexity and Error Propagation of Localization Using Interferometric Ranging
— An interferometric ranging technique has been recently proposed as a possible way to localize ad hoc and sensor networks. Compared to the more common techniques such as receive...
Rui Huang, Gergely V. Záruba, Manfred Huber
LCTRTS
2001
Springer
14 years 1 months ago
A Dynamic Programming Approach to Optimal Integrated Code Generation
Phase-decoupled methods for code generation are the state of the art in compilers for standard processors but generally produce code of poor quality for irregular target architect...
Christoph W. Keßler, Andrzej Bednarski
ISNN
2005
Springer
14 years 2 months ago
One-Bit-Matching ICA Theorem, Convex-Concave Programming, and Combinatorial Optimization
Recently, a mathematical proof is obtained in (Liu, Chiu, Xu, 2004) on the so called one-bit-matching conjecture that all the sources can be separated as long as there is an one-to...
Lei Xu