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ECOOP
2007
Springer
16 years 26 days ago
Metaprogramming with Traits
Abstract. In many domains, classes have highly regular internal structure. For example, so-called business objects often contain boilerplate code for mapping database fields to cl...
John H. Reppy, Aaron Turon
IBPRIA
2007
Springer
16 years 25 days ago
Bayesian Oil Spill Segmentation of SAR Images Via Graph Cuts
Abstract. This paper extends and generalizes the Bayesian semisupervised segmentation algorithm [1] for oil spill detection using SAR images. In the base algorithm on which we buil...
Sónia Pelizzari, José M. Bioucas-Dia...
KBSE
2005
IEEE
16 years 8 days ago
Identifying traits with formal concept analysis
Traits are basically mixins or interfaces but with method bodies. In languages that support traits, classes are composed out of traits. There are two main advantages with traits. ...
Adrian Lienhard, Stéphane Ducasse, Gabriela...
200
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GECCO
2005
Springer
158views Optimization» more  GECCO 2005»
16 years 6 days ago
Applying both positive and negative selection to supervised learning for anomaly detection
This paper presents a novel approach of applying both positive selection and negative selection to supervised learning for anomaly detection. It first learns the patterns of the n...
Xiaoshu Hang, Honghua Dai
IBPRIA
2005
Springer
16 years 4 days ago
Parallel Perceptrons, Activation Margins and Imbalanced Training Set Pruning
A natural way to deal with training samples in imbalanced class problems is to prune them removing redundant patterns, easy to classify and probably over represented, and label noi...
Iván Cantador, José R. Dorronsoro