716 search results - page 60 / 144 » Optimizing Sorting with Machine Learning Algorithms |
128
Voted
ICML
2009
IEEE
16 years 3 months ago
2009
IEEE
Recent advances in Multiple Kernel Learning (MKL) have positioned it as an attractive tool for tackling many supervised learning tasks. The development of efficient gradient desce...
135
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SYNASC
2006
IEEE
15 years 8 months ago
2006
IEEE
Evolutionary support vector machines (ESVMs) are a novel technique that assimilates the learning engine of the state-of-the-art support vector machines (SVMs) but evolves the coef...
102
Voted
ICML
2009
IEEE
16 years 3 months ago
2009
IEEE
The k q-flats algorithm is a generalization of the popular k-means algorithm where q dimensional best fit affine sets replace centroids as the cluster prototypes. In this work, a ...
101
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IJCNN
2006
IEEE
15 years 8 months ago
2006
IEEE
—Support Vector Machines are used to combine the outputs of multiple entity extractors, thus creating a composite entity extraction system. The composite system has a significant...
98
Voted
GECCO
2007
Springer
15 years 6 months ago
2007
Springer
In this paper we introduce XCSF with support vector prediction: the problem of learning the prediction function is solved as a support vector regression problem and each classifie...