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NA
2010
118views more  NA 2010»
13 years 6 months ago
Practical Quasi-Newton algorithms for singular nonlinear systems
Quasi-Newton methods for solving singular systems of nonlinear equations are considered in this paper. Singular roots cause a number of problems in implementation of iterative met...
Sandra Buhmiler, Natasa Krejic, Zorana Luzanin
CEC
2008
IEEE
14 years 2 months ago
Asynchronous multiple objective particle swarm optimisation in unreliable distributed environments
Abstract— This paper examines the performance characteristics of both asynchronous and synchronous parallel particle swarm optimisation algorithms in heterogeneous, fault-prone e...
Ian Scriven, David Ireland, Andrew Lewis, Sanaz Mo...
CORR
2010
Springer
163views Education» more  CORR 2010»
13 years 6 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
JSAC
2006
79views more  JSAC 2006»
13 years 7 months ago
Layered Multicast Rate Control Based on Lagrangian Relaxation and Dynamic Programming
In this paper, we address the rate control problem for layered multicast traffic, with the objective of solving a generalized throughput/fairness objective. Our approach is based o...
Koushik Kar, Leandros Tassiulas
TWC
2008
135views more  TWC 2008»
13 years 7 months ago
Optimal Distributed Stochastic Routing Algorithms for Wireless Multihop Networks
A novel framework was introduced recently for stochastic routing in wireless multihop networks, whereby each node selects a neighbor to forward a packet according to a probability...
Alejandro Ribeiro, Nikolas D. Sidiropoulos, Georgi...