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PPSN
2004
Springer
14 years 1 months ago
Optimization via Parameter Mapping with Genetic Programming
Abstract. This paper describes a new approach for parameter optimization that uses a novel representation for the parameters to be optimized. By using genetic programming, the new ...
João Carlos Figueira Pujol, Riccardo Poli
ICSNC
2007
IEEE
14 years 2 months ago
Movement Prediction Using Bayesian Learning for Neural Networks
Nowadays, path prediction is being extensively examined for use in the context of mobile and wireless computing towards more efficient network resource management schemes. Path pr...
Sherif Akoush, Ahmed Sameh
SIBGRAPI
2005
IEEE
14 years 1 months ago
Boolean Operations on Surfel-Bounded Objects Using Constrained BSP-Trees
Point-based modeling and rendering is an active area of research in Computer Graphics. The concept of points with attributes (e.g. normals) is usually referred to as surfels, and ...
Marcus A. C. Farias, Carlos Eduardo Scheidegger, J...
ICPPW
2005
IEEE
14 years 1 months ago
Gene Ordering in Microarray Data Using Parallel Memetic Algorithms
This paper addresses the Microarray Gene Ordering problem. It consists in ordering a set of genes, grouping together the ones with similar behavior. This behavior can be measured ...
Alexandre Mendes, Carlos Cotta, Vinícius Ga...
NECO
2002
145views more  NECO 2002»
13 years 7 months ago
Bayesian Model Assessment and Comparison Using Cross-Validation Predictive Densities
In this work, we discuss practical methods for the assessment, comparison, and selection of complex hierarchical Bayesian models. A natural way to assess the goodness of the model...
Aki Vehtari, Jouko Lampinen