Veneer 发表于 2025-3-23 12:36:20
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Zielsetzung und Problemstellung,et al. , it is assumed that membership queries on instances near the boundary of the target concept may receive a “don‘t know” answer..We show that zero-one threshold functions are efficiently learnable in this model. The learning algorithm uses split graphs when the boundary region has radius 1,声明 发表于 2025-3-23 20:13:56
Zusammenfassung und Diskussion,m of machine learning using randomly drawn examples. Quite often in practice some form of . partial information about the target is available in addition to randomly drawn examples. In this paper we extend the PAC model to a scenario of learning with partial information in addition to randomly drawnACE-inhibitor 发表于 2025-3-23 23:49:04
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http://reply.papertrans.cn/24/2326/232576/232576_17.pngendocardium 发表于 2025-3-24 14:50:50
Diskussion ausgewählter Beispieleandomized hypotheses for learning with small sample sizes and high malicious noise rates. We show an algorithm that PAC learns any target class of VC-dimension . using randomized hypotheses and order of . training examples (up to logarithmic factors) while tolerating malicious noise rates even sligh胆大 发表于 2025-3-24 19:13:35
http://reply.papertrans.cn/24/2326/232576/232576_19.pngMAIZE 发表于 2025-3-25 02:12:38
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