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» Sparse Optimization for Second Order Kernel Methods
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GECCO
2007
Springer
235views Optimization» more  GECCO 2007»
14 years 2 months ago
Expensive optimization, uncertain environment: an EA-based solution
Real life optimization problems often require finding optimal solution to complex high dimensional, multimodal problems involving computationally very expensive fitness function e...
Maumita Bhattacharya
BMCBI
2008
142views more  BMCBI 2008»
13 years 8 months ago
Optimal neighborhood indexing for protein similarity search
Background: Similarity inference, one of the main bioinformatics tasks, has to face an exponential growth of the biological data. A classical approach used to cope with this data ...
Pierre Peterlongo, Laurent Noé, Dominique L...
EURODAC
1994
IEEE
127views VHDL» more  EURODAC 1994»
14 years 17 days ago
Optimal equivalent circuits for interconnect delay calculations using moments
In performance-driven interconnect design, delay estimators are used to determine both the topology and the layout of good routing trees. We address the class of moment-matching, ...
Sudhakar Muddu, Andrew B. Kahng
GECCO
2009
Springer
175views Optimization» more  GECCO 2009»
14 years 1 months ago
Evolving soft robotic locomotion in PhysX
Given the complexity of the problem, genetic algorithms are one of the more promising methods of discovering control schemes for soft robotics. Since physically embodied evolution...
John Rieffel, Frank Saunders, Shilpa Nadimpalli, H...
JMLR
2012
11 years 11 months ago
Krylov Subspace Descent for Deep Learning
In this paper, we propose a second order optimization method to learn models where both the dimensionality of the parameter space and the number of training samples is high. In ou...
Oriol Vinyals, Daniel Povey