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» Iterative Methods in Combinatorial Optimization
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CORR
2010
Springer
163views Education» more  CORR 2010»
15 years 1 months ago
Faster Rates for training Max-Margin Markov Networks
Structured output prediction is an important machine learning problem both in theory and practice, and the max-margin Markov network (M3 N) is an effective approach. All state-of-...
Xinhua Zhang, Ankan Saha, S. V. N. Vishwanathan
EOR
2010
149views more  EOR 2010»
15 years 3 months ago
Adaptive multicut aggregation for two-stage stochastic linear programs with recourse
Outer linearization methods for two-stage stochastic linear programs with recourse, such as the L-shaped algorithm, generally apply a single optimality cut on the nonlinear object...
Svyatoslav Trukhanov, Lewis Ntaimo, Andrew Schaefe...
PC
2010
101views Management» more  PC 2010»
14 years 10 months ago
An efficient parallel implementation of the MSPAI preconditioner
We present an efficient implementation of the Modified SParse Approximate Inverse (MSPAI) preconditioner. MSPAI generalizes the class of preconditioners based on Frobenius norm mi...
Thomas Huckle, A. Kallischko, A. Roy, M. Sedlacek,...
ICNC
2005
Springer
15 years 8 months ago
DNA Computing for Complex Scheduling Problem
Interest in DNA computing has increased overwhelmly since Adleman successfully demonstrated its capability to solve Hamiltonian Path Problem (HPP). Many research results of similar...
Mohd Saufee Muhammad, Zuwairie Ibrahim, Satomi Ued...
ALGOSENSORS
2007
Springer
15 years 7 months ago
Efficient Sensor Network Design for Continuous Monitoring of Moving Objects
We study the problem of localizing and tracking multiple moving targets in wireless sensor networks, from a network design perspective i.e. towards estimating the least possible n...
Sotiris E. Nikoletseas, Paul G. Spirakis