我们的面粉
发表于 2025-3-25 03:26:31
to extract knowledge and to make predictions . i.e. the histological image, the patient history and the *omics data. These challenges call for integrated/integrative machine learning approach fostering transparency, trust, acceptance and the ability to explain step-by-step ..
薄膜
发表于 2025-3-25 11:03:11
Sören Bartelsonograph in Statistical Approximation Theory and Fuzziness. The chapters are self-contained and several advanced courses can be taught..The research findings will be useful in various applications including applied and computational mathematics, stochastics, engineering, artificial intelligence, vis
行业
发表于 2025-3-25 13:07:41
http://reply.papertrans.cn/67/6693/669269/669269_23.png
–FER
发表于 2025-3-25 17:11:56
Sören Bartelsobot setup. The main research focus of IROMEC is on the user oriented definition of appropriate play scenarios, development of evaluation methods, and finally on the definition of robot behaviors and interaction modes. Robustness, dependability as well as “plug&play” operation of the robot system are specifically addressed.
lethal
发表于 2025-3-25 21:34:35
http://reply.papertrans.cn/67/6693/669269/669269_25.png
边缘
发表于 2025-3-26 03:18:28
http://reply.papertrans.cn/67/6693/669269/669269_26.png
barium-study
发表于 2025-3-26 04:18:32
Sören Bartelsobot setup. The main research focus of IROMEC is on the user oriented definition of appropriate play scenarios, development of evaluation methods, and finally on the definition of robot behaviors and interaction modes. Robustness, dependability as well as “plug&play” operation of the robot system are specifically addressed.
cavity
发表于 2025-3-26 11:19:00
http://reply.papertrans.cn/67/6693/669269/669269_28.png
EXTOL
发表于 2025-3-26 13:33:57
http://reply.papertrans.cn/67/6693/669269/669269_29.png
Arresting
发表于 2025-3-26 18:10:57
Sören BartelsThen a summary of accumulated learning gleaned from revision studies is presented and critiqued in relation to the two broad world views of knowledge discussed in Chapter 1, as well as with regard to what we might still want to learn.