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 ...
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 ...
Systems and methods described receiving a set of example data and a set of knowledge based data and combine the set of example data and the set of knowledge based data to generate a set of combined data. The combined set can be used to train a machine learning model based on the set ...
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...
In this work, we propose a hybrid knowledge-based and data-driven approach for quantitative analysis of resilience. The aim is to model the causal relationships to quantify the importance of different perturbations to the overall resilience criteria. A set of key features related to the risk ...
In this section, we present the symbolic notations, the definition of semantic hierarchical class structure, and the description of the hierarchical classification process. HFSDK method In this section, we present the proposed robust hierarchical feature selection method driven by data and knowledge (HF...
We know the value of data. Beyond the technology-driven solutions, its true meaning lies within the business side. Our unique focus on data, AI, vocabulary and rules enables you to produce better business outcomes, work smarter, manage change and complexity, and develop solutions faster. We li...
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 ...
CLEP: A Hybrid Data- and Knowledge- Driven Framework for Generating Patient Representations. Bharadhwaj, V. S., Ali, M., Birkenbihl, C., Mubeen, S., Lehmann, J., Hofmann-Apitius, M., Hoyt, C. T., & Domingo-Fernandez, D. (2020). ...
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 ...