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KDD
2007
ACM
197views Data Mining» more  KDD 2007»
14 years 8 months ago
Learning the kernel matrix in discriminant analysis via quadratically constrained quadratic programming
The kernel function plays a central role in kernel methods. In this paper, we consider the automated learning of the kernel matrix over a convex combination of pre-specified kerne...
Jieping Ye, Shuiwang Ji, Jianhui Chen
GECCO
2008
Springer
123views Optimization» more  GECCO 2008»
13 years 8 months ago
Hierarchical evolution of linear regressors
We propose an algorithm for function approximation that evolves a set of hierarchical piece-wise linear regressors. The algorithm, named HIRE-Lin, follows the iterative rule learn...
Francesc Teixidó-Navarro, Albert Orriols-Pu...
EMNLP
2009
13 years 5 months ago
Consensus Training for Consensus Decoding in Machine Translation
We propose a novel objective function for discriminatively tuning log-linear machine translation models. Our objective explicitly optimizes the BLEU score of expected n-gram count...
Adam Pauls, John DeNero, Dan Klein
CVPR
2011
IEEE
13 years 3 months ago
Discriminative Image Warping with Attribute Flow
We address the problem of finding deformation between two images for the purpose of recognizing objects. The challenge is that discriminative features are often transformation-va...
Weiyu Zhang, Praveen Srinivasan, Jianbo Shi
IFIP
2005
Springer
14 years 1 months ago
On Warm Starts for Interior Methods
An appealing feature of interior methods for linear programming is that the number of iterations required to solve a problem tends to be relatively insensitive to the choice of in...
Anders Forsgren