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CSDA
2007
202views more  CSDA 2007»
15 years 6 months ago
Bayesian estimation of the Gaussian mixture GARCH model
In this paper, we perform Bayesian inference and prediction for a GARCH model where the innovations are assumed to follow a mixture of two Gaussian distributions. This GARCH model...
María Concepción Ausín, Pedro...
MOBIHOC
2005
ACM
16 years 5 months ago
Scalable location services for hierarchically organized mobile ad hoc networks
This paper proposes a location service to assist location-based routing protocols, realized through a novel Associativity-Based clustering protocol. The main goal of our scheme, w...
Siva Sivavakeesar, George Pavlou
GECCO
2008
Springer
182views Optimization» more  GECCO 2008»
15 years 7 months ago
Scaling ant colony optimization with hierarchical reinforcement learning partitioning
This paper merges hierarchical reinforcement learning (HRL) with ant colony optimization (ACO) to produce a HRL ACO algorithm capable of generating solutions for large domains. Th...
Erik J. Dries, Gilbert L. Peterson
GECCO
2003
Springer
15 years 11 months ago
Hierarchical BOA Solves Ising Spin Glasses and MAXSAT
Abstract. Theoretical and empirical evidence exists that the hierarchical Bayesian optimization algorithm (hBOA) can solve challenging hierarchical problems and anything easier. Th...
Martin Pelikan, David E. Goldberg
IJON
2010
189views more  IJON 2010»
15 years 4 months ago
Inference and parameter estimation on hierarchical belief networks for image segmentation
We introduce a new causal hierarchical belief network for image segmentation. Contrary to classical tree structured (or pyramidal) models, the factor graph of the network contains...
Christian Wolf, Gérald Gavin