鲁莽
发表于 2025-3-23 11:53:53
Claudia Hub,Verena Groer,Brigitte Wagenhalse of automatically processing tens of thousands of scientific publications with the aim to enrich existing empirical evidence with literature-based associations is challenging and relevant. We propose a system for contextualization of empirical expression data by approximating relations between enti
Stagger
发表于 2025-3-23 17:06:11
Ralph Schneider,Theresa SchwarzkopfoExp, an OntoDM module which gives a more granular representation of a predictive modeling experiment and enables annotation of the experiment’s provenance, algorithm implementations, parameter settings and output metrics. This module is incorporated in SemanticHub, an online system that allows exec
欢乐东方
发表于 2025-3-23 21:20:10
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analogous
发表于 2025-3-24 00:38:13
Positionierung und Internationalisierung,ew instances. In such dynamic environments, in which the underlying data distributions might evolve with time, fairness-aware learning cannot be considered as a one-off requirement, but rather it should comprise a continual requirement over the stream. Recent fairness-aware stream classifiers ignore
cancer
发表于 2025-3-24 03:01:14
Studierendenmarketing und Hochschulbranding-making. Most of the proposed fairness-aware learning algorithms process the data in offline settings and assume that the data is generated by a single concept without drift. Unfortunately, in many real-world applications, data is generated in a streaming fashion and can only be scanned once. In add
judiciousness
发表于 2025-3-24 10:07:34
Forschungsfrage(n) und Methodologie,m monitor the loss of predictive models. Accordingly, an alarm is launched when the loss increases significantly, which triggers some adaptation mechanism (e.g. retrain the model). However, this . falls short in many real-world scenarios, where the true labels are not readily available to compute th
友好
发表于 2025-3-24 14:44:50
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mediocrity
发表于 2025-3-24 16:00:01
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/e/image/281055.jpg
hair-bulb
发表于 2025-3-24 22:24:03
Evaluating Decision Makers over Selectively Labelled Data: A Causal Modelling Approachy encountered in such settings and prevent a direct evaluation. First, the data may not have included all factors that affected past decisions. And second, past decisions may have led to unobserved outcomes. This is the case, for example, when a bank decides whether a customer should be granted a lo
牵连
发表于 2025-3-25 01:21:28
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