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» Solutions to Computational Problems Through Gene Assembly
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NC
1998
138views Neural Networks» more  NC 1998»
13 years 11 months ago
Parallel Adaptive Genetic Algorithm
In this paper we introduce an efficient implementation of asynchronously parallel genetic algorithm with adaptive genetic operators. The classic genetic algorithm paradigm is exte...
Leo Budin, Marin Golub, Domagoj Jakobovic
MOBICOM
2010
ACM
13 years 10 months ago
Did you see Bob?: human localization using mobile phones
Finding a person in a public place, such as in a library, conference hotel, or shopping mall, can be difficult. The difficulty arises from not knowing where the person may be at t...
Ionut Constandache, Xuan Bao, Martin Azizyan, Romi...
JNSM
2008
73views more  JNSM 2008»
13 years 10 months ago
Probe Station Placement for Robust Monitoring of Networks
1 In this paper we address the problem of selecting probe station locations from where probes can be sent to monitor all the nodes in the network. Probe station placement involves...
Maitreya Natu, Adarshpal S. Sethi
JMLR
2010
123views more  JMLR 2010»
13 years 8 months ago
Maximum Relative Margin and Data-Dependent Regularization
Leading classification methods such as support vector machines (SVMs) and their counterparts achieve strong generalization performance by maximizing the margin of separation betw...
Pannagadatta K. Shivaswamy, Tony Jebara
SIAMJO
2010
87views more  SIAMJO 2010»
13 years 8 months ago
A Second Derivative SQP Method: Global Convergence
Abstract. Sequential quadratic programming (SQP) methods form a class of highly efficient algorithms for solving nonlinearly constrained optimization problems. Although second deri...
Nicholas I. M. Gould, Daniel P. Robinson