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» Optimal Difference Operator Selection
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118
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ICASSP
2009
IEEE
15 years 10 months ago
Map approach to learning sparse Gaussian Markov networks
Recently proposed l1-regularized maximum-likelihood optimization methods for learning sparse Markov networks result into convex problems that can be solved optimally and efficien...
Narges Bani Asadi, Irina Rish, Katya Scheinberg, D...
121
Voted
KES
2005
Springer
15 years 9 months ago
A Robust Approach for Improving Computational Efficiency of Order-Picking Problems
The new market forces have affected the operation of distribution centers (DCs) extremely. The DCs demand an increased productivity and a low cost in their daily operation. This pa...
Yu-Min Chiang, Shih-Hsin Chen, Kuo-Chang Wu
136
Voted
JSAC
2010
138views more  JSAC 2010»
15 years 2 months ago
Dynamic conjectures in random access networks using bio-inspired learning
—Inspired by the biological entities’ ability to achieve reciprocity in the course of evolution, this paper considers a conjecture-based distributed learning approach that enab...
Yi Su, Mihaela van der Schaar
JMLR
2011
148views more  JMLR 2011»
14 years 10 months ago
Multitask Sparsity via Maximum Entropy Discrimination
A multitask learning framework is developed for discriminative classification and regression where multiple large-margin linear classifiers are estimated for different predictio...
Tony Jebara
114
Voted
ICPR
2008
IEEE
15 years 10 months ago
A variational inference based approach for image segmentation
In this paper, we present a variational Bayes (VB) approach for image segmentation. First, image is modeled by a mixture model, and then with the techniques of factor analyzer, th...
Zhenglong Li, Qingshan Liu, Jian Cheng, Hanqing Lu