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UAI
2003
15 years 7 months ago
On Local Optima in Learning Bayesian Networks
This paper proposes and evaluates the k-greedy equivalence search algorithm (KES) for learning Bayesian networks (BNs) from complete data. The main characteristic of KES is that i...
Jens D. Nielsen, Tomás Kocka, José M...
ESM
2000
15 years 7 months ago
Wide area network module - for FDT based simulation of multicast communication protocols
The framework of this paper is the design of complex communication protocols by simulation, based on formal description techniques (FDT). We propose a general-purpose scalable mod...
Eugen Borcoci, Stanislaw Budkowski
COR
2008
175views more  COR 2008»
15 years 6 months ago
Lower and upper bounds for a two-level hierarchical location problem in computer networks
In this paper a two-level hierarchical model for the location of concentrators and routers in computers networks is presented. Given a set of candidate locations and the capacitie...
Aníbal Alberto Vilcapoma Ignacio, Virg&iacu...
ICONIP
2010
15 years 4 months ago
Improving Recurrent Neural Network Performance Using Transfer Entropy
Abstract. Reservoir computing approaches have been successfully applied to a variety of tasks. An inherent problem of these approaches, is, however, their variation in performance ...
Oliver Obst, Joschka Boedecker, Minoru Asada
186
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INFORMS
2010
125views more  INFORMS 2010»
15 years 4 months ago
Combining Exact and Heuristic Approaches for the Capacitated Fixed-Charge Network Flow Problem
We develop a solution approach for the fixed charge network flow problem (FCNF) that produces provably high-quality solutions quickly. The solution approach combines mathematica...
Mike Hewitt, George L. Nemhauser, Martin W. P. Sav...