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135
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MP
2006
73views more  MP 2006»
15 years 3 months ago
On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming
We present a primal-dual interior-point algorithm with a filter line-search method for nonlinear programming. Local and global convergence properties of this method were analyzed i...
Andreas Wächter, Lorenz T. Biegler
122
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COR
2008
103views more  COR 2008»
15 years 3 months ago
A tabu search algorithm for structural software testing
This paper presents a tabu search metaheuristic algorithm for the automatic generation of structural software tests. It is a novel work since tabu search is applied to the automat...
Eugenia Díaz, Javier Tuya, Raquel Blanco, J...
119
Voted
ICASSP
2011
IEEE
14 years 7 months ago
Consensus-based distributed particle filtering algorithms for cooperative blind equalization in receiver networks
We describe in this paper novel consensus-based distributed particle filtering algorithms which are applied to cooperative blind equalization of frequency-selective channels in a...
Claudio J. Bordin, Marcelo G. S. Bruno
183
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SIGIR
2012
ACM
13 years 6 months ago
Top-k learning to rank: labeling, ranking and evaluation
In this paper, we propose a novel top-k learning to rank framework, which involves labeling strategy, ranking model and evaluation measure. The motivation comes from the difficul...
Shuzi Niu, Jiafeng Guo, Yanyan Lan, Xueqi Cheng
119
Voted
NIPS
1996
15 years 5 months ago
Interpreting Images by Propagating Bayesian Beliefs
A central theme of computational vision research has been the realization that reliable estimation of local scene properties requires propagating measurements across the image. Ma...
Yair Weiss