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» Large Margin Classification Using the Perceptron Algorithm
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WOB
2008
101views Bioinformatics» more  WOB 2008»
13 years 9 months ago
Top-Down Hierarchical Ensembles of Classifiers for Predicting G-Protein-Coupled-Receptor Functions
Abstract. Despite the recent advances in Molecular Biology, the function of a large amount of proteins is still unknown. An approach that can be used in the prediction of a protein...
Eduardo P. Costa, Ana Carolina Lorena, André...
CNIS
2006
13 years 9 months ago
Towards effective packet classification
A variety of network security services, such as access control in firewalls and protocol analysis in intrusion detection systems, require the discrimination of packets based on th...
Yaxuan Qi, Jun Li
GECCO
2006
Springer
156views Optimization» more  GECCO 2006»
13 years 11 months ago
Improving GP classifier generalization using a cluster separation metric
Genetic Programming offers freedom in the definition of the cost function that is unparalleled among supervised learning algorithms. However, this freedom goes largely unexploited...
Ashley George, Malcolm I. Heywood
IWMM
2007
Springer
122views Hardware» more  IWMM 2007»
14 years 1 months ago
Overlooking roots: a framework for making nondeferred reference-counting garbage collection fast
Numerous optimizations exist for improving the performance of nondeferred reference-counting (RC) garbage collection. Their designs are ad hoc, intended to exploit different count...
Pramod G. Joisha
ML
2006
ACM
110views Machine Learning» more  ML 2006»
13 years 7 months ago
Classification-based objective functions
Backpropagation, similar to most learning algorithms that can form complex decision surfaces, is prone to overfitting. This work presents classification-based objective functions, ...
Michael Rimer, Tony Martinez