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11#
發(fā)表于 2025-3-23 11:13:50 | 只看該作者
Tractable Probabilistic Models for?Ethical AIthe underlying decision boundary, addressing the potential for learned algorithms to become biased against certain groups, and capturing blame and responsibility for a system’s outcomes. In this talk, we advocate for a research program that seeks to bridge tractable (probabilistic) models for knowle
12#
發(fā)表于 2025-3-23 17:41:28 | 只看該作者
TAQE: A Data Modeling Framework for?Traffic and?Air Quality Applications in?Smart Citiesptual models and ontologies have already been proposed. However, the lack of standardized solutions boost development costs and hinder data integration between different cities and with other application domains. This paper proposes a classification of existing models and ontologies related to Earth
13#
發(fā)表于 2025-3-23 19:21:18 | 只看該作者
Attribute Exploration with?Multiple Contradicting Partial Expertswhich can be represented as formal contexts (cross tables of objects and attributes). In this paper we present an extension of attribute exploration that allows for a group of domain experts and explores their shared views. Each expert has their own view of the domain and the views of multiple exper
14#
發(fā)表于 2025-3-23 22:40:15 | 只看該作者
Orbital Concept Lattices, renaming and duplication operations on concept extents, and fuses them with their counterparts on concept intents (formalized by tableau queries). This strengthens the existing connections between this branch of FCA and database theory, and it opens up a new possibility of characterizing such conc
15#
發(fā)表于 2025-3-24 02:44:40 | 只看該作者
16#
發(fā)表于 2025-3-24 10:31:54 | 只看該作者
Explainable and?Explorable Decision Support a result needs to be explainable and explorable, providing alternatives and additional information in a proactive way, instead of retroactively answering follow-up questions to a single action plan as output. Therefore, this paper presents LEEDS, an algorithm that computes alternative action plans,
17#
發(fā)表于 2025-3-24 14:30:00 | 只看該作者
18#
發(fā)表于 2025-3-24 17:15:47 | 只看該作者
https://doi.org/10.1007/978-1-4419-0561-1the underlying decision boundary, addressing the potential for learned algorithms to become biased against certain groups, and capturing blame and responsibility for a system’s outcomes. In this talk, we advocate for a research program that seeks to bridge tractable (probabilistic) models for knowle
19#
發(fā)表于 2025-3-24 22:17:57 | 只看該作者
20#
發(fā)表于 2025-3-25 00:52:08 | 只看該作者
Applications of Communications Theorywhich can be represented as formal contexts (cross tables of objects and attributes). In this paper we present an extension of attribute exploration that allows for a group of domain experts and explores their shared views. Each expert has their own view of the domain and the views of multiple exper
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