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» Using Evolutionary Multiobjective Techniques for Imbalanced ...
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114
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HAIS
2009
Springer
15 years 8 months ago
Beyond Homemade Artificial Data Sets
One of the most important challenges in supervised learning is how to evaluate the quality of the models evolved by different machine learning techniques. Up to now, we have relied...
Núria Macià, Albert Orriols-Puig, Es...
147
Voted
ICMCS
2005
IEEE
111views Multimedia» more  ICMCS 2005»
15 years 10 months ago
Optimized wireless video transmission using classification
— Cross protocol layer optimizations have been recently proposed for improving the performance of realtime video transmission over 802.11 WLANs. However, performing such cross-la...
Raymond S. Wong, Mihaela van der Schaar, Deepak S....
121
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IDEAL
2009
Springer
15 years 2 months ago
Optimizing Data Transformations for Classification Tasks
Many classification algorithms use the concept of distance or similarity between patterns. Previous work has shown that it is advantageous to optimize general Euclidean distances (...
José María Valls, Ricardo Aler
CIDM
2009
IEEE
15 years 11 months ago
Ensemble member selection using multi-objective optimization
— Both theory and a wealth of empirical studies have established that ensembles are more accurate than single predictive models. Unfortunately, the problem of how to maximize ens...
Tuve Löfström, Ulf Johansson, Henrik Bos...
GECCO
2009
Springer
142views Optimization» more  GECCO 2009»
15 years 11 months ago
A stopping criterion based on Kalman estimation techniques with several progress indicators
The need for a stopping criterion in MOEA’s is a repeatedly mentioned matter in the domain of MOOP’s, even though it is usually left aside as secondary, while stopping criteri...
José Luis Guerrero, Jesús Garc&iacut...