Unverified50% confidenceFactExact time
标准SVM(使用SMO等优化算法)的训练时间复杂度介于O(n²)到O(n³)之间，样本量从1000增加到10000理论耗时可能增加100到1000倍
1
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50%
Confidence
Long-term
Relevance
7/19/2026
First Seen
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Related Claims
UnverifiedSVM训练运行时间由训练次数与单次训练复杂度共同决定，而非仅取决于数据量大小81% similarUnverified手工取极值样本会引入离群点，使支持向量数量激增，迫使SVM构建更复杂的决策边界并延长训练时间76% similarUnverifiedIn actual Agent Tuning projects, the total cost of data preparation, hyperparameter tuning, and multiple experimental iterations is typically 5–10 times that of a single training run68% similarUnverifiedThe energy consumption during the training phase of large models is approximately hundreds of times that of the inference phase.68% similar
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