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ICONIP
2008
15 years 8 months ago
A Notable Swarm Approach to Evolve Neural Network for Classification in Data Mining
This paper presents a novel and notable swarm approach to evolve an optimal set of weights and architecture of a neural network for classification in data mining. In a distributed ...
Satchidananda Dehuri, Bijan Bihari Misra, Sung-Bae...
137
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AIIDE
2006
15 years 8 months ago
Plausible Environment Reconstruction Using Bayesian Networks
To save precious time and space, many games and simulations use static terrain and fixed (or random) reconstruction of areas that a player leaves and later revisits. This can resu...
Robert G. Price, Scott D. Goodwin
UAI
2003
15 years 8 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 8 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...