3.3知识细化任务 通过知识细化任务,分阶段细化任务,细化模块,增加整个学习步骤的可解释性。细化任务和特性解耦都属于知识细化任务。 论文下载地址: A General Paradigm of Knowledge-driven and Data-driven Fusion | IEEE Conference Publication | IEEE Xplore 编辑于 2024-02-24 12:42・浙江 阅读文献 数据建模 赞同2添加评论 分享喜欢收...
引用:Wu Z, Zhang Y, Dong Z. Prediction of NOx emission concentration from coal-fired power plant based on joint knowledge and data driven[J]. Energy, 2023, 271: 127044. 提出了一种基于联合知识和数据驱动的混合模型。首先,我们整合NOx生成机制,利用知识驱动的组合特征选择方法计算变量相关性,并提供...
Data-driven vs knowledge-driven inference of health outcomes in the ageing population: A case studyD FerrariG GuaraldiF MandreoliR MartogliaJ MilicP MissierNewcastle UniversityCEUR Workshop Proceedings
PocketFlow is a data-and-knowledge driven structure-based molecular generative model. Zenodo https://doi.org/10.5281/zenodo.10460455 (2024). Download references Acknowledgements This work was supported by National Key R&D Program of China (grant no. 2023YFF1204905, S.Y.); the National Natural ...
Focusing on the three challenges, we propose a hybrid data-driven and knowledge-driven method for the optimization of modern logistics: DKDM4L. In DKDM4L, we adopt knowledge modelling and knowledge reasoning techniques to enhance data-driven methods. In the context of logistics, we formally defin...
The 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) will take place in Sydney, Australia, on June 10-13, 2025. PAKDD 2025 is soliciting contributed technical papers for presentation at the Conference and publication in the Conference Proceedings by Springer. We solicit ...
Fortunately, many practical tasks usually organize the classes by a hierarchical structure in a coarse-to-fine manner and can be solved by using the divide-and-conquer strategy. In this paper, we propose a hierarchical feature selection method driven by data and knowledge (HFSDK), which is ...
9.3.1 Interpretability and Knowledge Discovery Knowledge discovery has been described as the “non-trivial process of identifying valid, novel, potentially useful, and ultimately understandable patterns in data” [33]. Efforts to improve knowledge discovery in P-LCSs or similar GBML algorithms are sy...
Datawarehouse:update-driven,highperformance Informationfrom heterogeneous sources is integrated in advance and stored in warehouses for direct query and analysis Data Warehouse vs. Operational DBMS OLTP (on-line transaction processing) Major task of traditional relational DBMS Day-to-day operations: purcha...
4) data and knowledge dining 数据与知识挖掘5) policy-driven 策略驱动 1. Design and Application of Coordination Platform Based on Policy-driven; 一种基于策略驱动的联动平台设计与应用 2. To validate the configuring process of policy-driven self-configuring systems,a framework based on color ...