ISSNIP

Support Vector Machine

Machine learning research provides some of the most the effective and efficient techniques for information processing. Along with neural network technology, machine learning offers the potential for online adaptive processing of immense volumes of information without explicit knowledge of the underlying data. Supervised and unsupervised learning techniques continue to improve in these tasks. Further optimizations are required to improve operational efficiency. Tools such as support vector machines can offer potential alternatives in this regard. These areas are well established in respective research communities, yet still attract considerable attention due to significant potential for improvement.

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