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ICCSA
2003
Springer
14 years 2 months ago
A Probabilistic Model for Predicting Software Development Effort
—Recently, Bayesian probabilistic models have been used for predicting software development effort. One of the reasons for the interest in the use of Bayesian probabilistic model...
Parag C. Pendharkar, Girish H. Subramanian, James ...
PRL
2000
182views more  PRL 2000»
13 years 8 months ago
Bayesian MLP neural networks for image analysis
We demonstrate the advantages of using Bayesian multi layer perceptron (MLP) neural networks for image analysis. The Bayesian approach provides consistent way to do inference by c...
Aki Vehtari, Jouko Lampinen
CEC
2008
IEEE
13 years 10 months ago
Evolving scale-free topologies using a Gene Regulatory Network model
Abstract-- A novel approach to generating scale-free network topologies is introduced, based on an existing artificial Gene Regulatory Network model. From this model, different int...
Miguel Nicolau, Marc Schoenauer
ICWE
2007
Springer
14 years 2 months ago
The Use of a Bayesian Network for Web Effort Estimation
The objective of this paper is to describe the use of a probabilistic approach to Web effort estimation by means of a Bayesian Network. A Bayesian Network is a model that embodies ...
Emilia Mendes
GECCO
2008
Springer
179views Optimization» more  GECCO 2008»
13 years 10 months ago
Evolution of discrete gene regulatory models
Gene regulatory networks (GRNs) are complex control systems that govern the interaction of genes, which ultimately control cellular processes at the protein level. GRNs can be ted...
Afshin Esmaeili, Christian Jacob