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» Newton's method and its use in optimization
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CEC
2005
IEEE
14 years 1 months ago
Dynamic multi-swarm particle swarm optimizer with local search
—In this paper, the performance of dynamic multi-swarm particle swarm optimizer (DMS-PSO) on the set of benchmark functions provided for the CEC2008 Special Session on Large Scal...
Jing J. Liang, Ponnuthurai N. Suganthan
JMLR
2008
110views more  JMLR 2008»
13 years 7 months ago
Cross-Validation Optimization for Large Scale Structured Classification Kernel Methods
We propose a highly efficient framework for penalized likelihood kernel methods applied to multiclass models with a large, structured set of classes. As opposed to many previous a...
Matthias W. Seeger
ICML
2007
IEEE
14 years 8 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
IEICET
2007
131views more  IEICET 2007»
13 years 7 months ago
High Accuracy Fundamental Matrix Computation and Its Performance Evaluation
We compare the convergence performance of different numerical schemes for computing the fundamental matrix from point correspondences over two images. First, we state the problem ...
Ken-ichi Kanatani, Yasuyuki Sugaya
ATAL
2004
Springer
14 years 27 days ago
Adaptive, Distributed Control of Constrained Multi-Agent Systems
Product Distribution (PD) theory was recently developed as a framework for analyzing and optimizing distributed systems. In this paper we demonstrate its use for adaptive distribu...
Stefan Bieniawski, David Wolpert