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| @@ -40,6 +40,10 @@ The `learnware` package provides a fundamental implementation of the central con | |||||
| In addition, the `learnware` package serves as the engine for the [Beimingwu System](https://bmwu.cloud) and can be effectively employed for conducting experiments related to learnware. | In addition, the `learnware` package serves as the engine for the [Beimingwu System](https://bmwu.cloud) and can be effectively employed for conducting experiments related to learnware. | ||||
| -------------------------- | |||||
| [1] Zhi-Hua Zhou. Learnware: on the future of machine learning. _Frontiers of Computer Science_, 2016, 10(4): 589–590 <br/> | |||||
| [2] Zhi-Hua Zhou. Machine Learning: Development and Future. _Communications of CCF_, 2017, vol.13, no.1 (2016 CNCC keynote) | |||||
| ## Learnware Paradigm | ## Learnware Paradigm | ||||
| A learnware consists of a high-performance machine learning model and specifications that characterize the model, i.e., "Learnware = Model + Specification". | A learnware consists of a high-performance machine learning model and specifications that characterize the model, i.e., "Learnware = Model + Specification". | ||||
| @@ -407,8 +411,3 @@ We appreciate all contributions and thank all the contributors! | |||||
| ## About us | ## About us | ||||
| Please visit [LAMDA's official website](http://www.lamda.nju.edu.cn/). | Please visit [LAMDA's official website](http://www.lamda.nju.edu.cn/). | ||||
| ----------------- | |||||
| [1] Zhi-Hua Zhou. Learnware: on the future of machine learning. _Frontiers of Computer Science_, 2016, 10(4): 589–590 <br/> | |||||
| [2] Zhi-Hua Zhou. Machine Learning: Development and Future. _Communications of CCF_, 2017, vol.13, no.1 (2016 CNCC keynote) | |||||