dyspareunia
发表于 2025-3-25 04:37:59
Yammie Chin,Carol C Choo,Kinjal DoshiWe briefly describe the main ideas of statistical learning theory, support vector machines, and kernel feature spaces.
异端
发表于 2025-3-25 10:16:46
Statistical Learning and Kernel MethodsWe briefly describe the main ideas of statistical learning theory, support vector machines, and kernel feature spaces.
专心
发表于 2025-3-25 14:59:23
https://doi.org/10.1007/978-1-4757-9712-1on. In the non-Gaussian case we show connections to support vectors methods. We also present experimental results comparing this method to other methods of model complexity selection, including cross-validation.
Innocence
发表于 2025-3-25 18:11:03
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伪造者
发表于 2025-3-25 20:00:05
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abstemious
发表于 2025-3-26 04:09:25
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CLOWN
发表于 2025-3-26 07:10:14
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Anthropoid
发表于 2025-3-26 10:25:48
A combined Bayes — maximum likelihood method for regressionon. In the non-Gaussian case we show connections to support vectors methods. We also present experimental results comparing this method to other methods of model complexity selection, including cross-validation.
漂泊
发表于 2025-3-26 15:27:59
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禁止,切断
发表于 2025-3-26 17:40:13
Classification and Fusionrvised classification problem. For each pair of records we have to decide whether a definite decision upon matching or not is possible and if it is possible, whether the two records are linked to an identical unit (customer, citizen etc.) or not. Candidates for classification can be selected from li