Visual-Acuity
发表于 2025-3-26 21:23:27
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SKIFF
发表于 2025-3-27 04:10:54
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意外的成功
发表于 2025-3-27 05:50:52
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宫殿般
发表于 2025-3-27 10:50:24
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Aggregate
发表于 2025-3-27 16:20:58
Conference proceedings 2014ers, 10 nectar track papers, 8 PhD track papers, and 9 invited talks were carefully reviewed and selected from 550 submissions. The papers cover the latest high-quality interdisciplinary research results in all areas related to machine learning and knowledge discovery in databases.
黄油没有
发表于 2025-3-27 21:51:20
0302-9743 edge Discovery in Databases: ECML PKDD 2014, held in Nancy, France, in September 2014. The 115 revised research papers presented together with 13 demo track papers, 10 nectar track papers, 8 PhD track papers, and 9 invited talks were carefully reviewed and selected from 550 submissions. The papers c
MUTE
发表于 2025-3-28 01:19:04
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说明
发表于 2025-3-28 05:45:21
0302-9743 over the latest high-quality interdisciplinary research results in all areas related to machine learning and knowledge discovery in databases.978-3-662-44850-2978-3-662-44851-9Series ISSN 0302-9743 Series E-ISSN 1611-3349
Indebted
发表于 2025-3-28 10:13:25
Conference proceedings 2014very in Databases: ECML PKDD 2014, held in Nancy, France, in September 2014. The 115 revised research papers presented together with 13 demo track papers, 10 nectar track papers, 8 PhD track papers, and 9 invited talks were carefully reviewed and selected from 550 submissions. The papers cover the l
积习已深
发表于 2025-3-28 11:23:27
Robust Distributed Training of Linear Classifiers Based on Divergence Minimization Principled. The goal of this distributed training is to utilize the data of all shards to obtain a well-performing linear classifier. The iterative parameter mixture (IPM) framework (Mann et al., 2009) is a state-of-the-art distributed learning framework that has a strong theoretical guarantee when the data