crusade
发表于 2025-3-21 19:47:03
书目名称Interpretability for Industry 4.0 : Statistical and Machine Learning Approaches影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0472698<br><br> <br><br>书目名称Interpretability for Industry 4.0 : Statistical and Machine Learning Approaches影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0472698<br><br> <br><br>书目名称Interpretability for Industry 4.0 : Statistical and Machine Learning Approaches网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0472698<br><br> <br><br>书目名称Interpretability for Industry 4.0 : Statistical and Machine Learning Approaches网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0472698<br><br> <br><br>书目名称Interpretability for Industry 4.0 : Statistical and Machine Learning Approaches被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0472698<br><br> <br><br>书目名称Interpretability for Industry 4.0 : Statistical and Machine Learning Approaches被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0472698<br><br> <br><br>书目名称Interpretability for Industry 4.0 : Statistical and Machine Learning Approaches年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0472698<br><br> <br><br>书目名称Interpretability for Industry 4.0 : Statistical and Machine Learning Approaches年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0472698<br><br> <br><br>书目名称Interpretability for Industry 4.0 : Statistical and Machine Learning Approaches读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0472698<br><br> <br><br>书目名称Interpretability for Industry 4.0 : Statistical and Machine Learning Approaches读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0472698<br><br> <br><br>
pantomime
发表于 2025-3-21 20:38:10
http://reply.papertrans.cn/48/4727/472698/472698_2.png
缓和
发表于 2025-3-22 03:40:33
http://reply.papertrans.cn/48/4727/472698/472698_3.png
颠簸下上
发表于 2025-3-22 08:23:09
http://reply.papertrans.cn/48/4727/472698/472698_4.png
相同
发表于 2025-3-22 10:37:40
http://reply.papertrans.cn/48/4727/472698/472698_5.png
debacle
发表于 2025-3-22 16:58:34
Interpretability in Generalized Additive Models,o interactively build and improve GAM and GAMLSS models via the mgcv and mgcViz R packages, which exploit their modular and interpretable structure. The final part of the chapter shows how to exploit the additive structure of GAMs to build powerful predictive models, by using random forests and online aggregation methods.
细胞学
发表于 2025-3-22 19:24:50
Interpretability via Random Forests,reiman’s MDA (Mean Decrease Accuracy) shows that this measure is strongly biased using a sensitivity analysis perspective. The Sobol-MDA algorithm is introduced to fix the MDA flaws, replacing permutations by projections. An extension to Shapley effects, an efficient importance measure when input va
labyrinth
发表于 2025-3-23 00:12:17
Bertrand Iooss,Ron Kenett,Piercesare Secchi internationaler Wettbewerbsvorteile in den Vordergrund. Das hier vorgestellte Buchprojekt geht einen anderen Weg. Die Anforderungen an den Inhalt des Buches leiten sich dabei aus den zukünftigen Tätigkeitsfelde978-3-8349-0404-1978-3-8349-9548-3
byline
发表于 2025-3-23 04:49:18
S. N. Wood,Y. Goude,M. Fasiolo internationaler Wettbewerbsvorteile in den Vordergrund. Das hier vorgestellte Buchprojekt geht einen anderen Weg. Die Anforderungen an den Inhalt des Buches leiten sich dabei aus den zukünftigen Tätigkeitsfelde978-3-8349-0404-1978-3-8349-9548-3
大笑
发表于 2025-3-23 08:32:00
http://reply.papertrans.cn/48/4727/472698/472698_10.png