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TNN
1998
100views more  TNN 1998»
13 years 7 months ago
A dynamical system perspective of structural learning with forgetting
—Structural learning with forgetting is an established method of using Laplace regularization to generate skeletal artificial neural networks. In this paper we develop a continu...
D. A. Miller, J. M. Zurada
PERVASIVE
2008
Springer
13 years 7 months ago
Localized power-aware routing in linear wireless sensor networks
Energy-efficency is a key concern when designing protocols for wireless sensor networks (WSN). This is of particular importance in commercial applications where demonstrable retur...
Marco Zimmerling, Waltenegus Dargie, Johnathan M. ...
PARA
2004
Springer
14 years 1 months ago
Structure-Preserving Model Reduction
A general framework for structure-preserving model reduction by Krylov subspace projection methods is developed. The goal is to preserve any substructures of importance in the matr...
Ren-Cang Li, Zhaojun Bai
UAI
2004
13 years 9 months ago
Solving Factored MDPs with Continuous and Discrete Variables
Although many real-world stochastic planning problems are more naturally formulated by hybrid models with both discrete and continuous variables, current state-of-the-art methods ...
Carlos Guestrin, Milos Hauskrecht, Branislav Kveto...
INFOCOM
2008
IEEE
14 years 2 months ago
Maximizing Resilient Throughput in Peer-to-Peer Network: A Generalized Flow Approach
—A unique challenge in P2P network is that the peer dynamics (departure or failure) cause unavoidable disruption to the downstream peers. While many works have been dedicated to ...
Bin Chang, Yi Cui, Yuan Xue