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Journal of Symbolic Logic, 1994
AbstractKernel contraction is a natural nonrelational generalization of safe contraction. All partial meet contractions are kernel contractions, but the converse relationship does not hold. Kernel contraction is axiomatically characterized. It is shown to be better suited than partial meet contraction for formal treatments of iterated belief change.
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AbstractKernel contraction is a natural nonrelational generalization of safe contraction. All partial meet contractions are kernel contractions, but the converse relationship does not hold. Kernel contraction is axiomatically characterized. It is shown to be better suited than partial meet contraction for formal treatments of iterated belief change.
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Kernel-Based Methods Kernel@Kernel-based method [PDF]
, 2010 Inspired by the success of support vector machines, to improve generalization and classification abilities, conventional pattern classification techniques have been extended to incorporate maximizing margins and mapping to a feature space. For example, perceptron algorithms [1–4], neural networks (Chapter 9), and fuzzy systems (Chapter 10) have ...
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Kernel Principal Component Analysis
International Conference on Artificial Neural Networks, 1997B. Scholkopf, Alex Smola, K. Müller
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Combating Dual Challenges in Maize Under High Planting Density: Stem Lodging and Kernel Abortion
Frontiers in Plant Science, 2021Yu-jane Sheng +2 more
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