Ford 发表于 2025-3-21 17:14:40
书目名称Nanotechnology for Advances in Medical Microbiology影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0661086<br><br> <br><br>书目名称Nanotechnology for Advances in Medical Microbiology影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0661086<br><br> <br><br>书目名称Nanotechnology for Advances in Medical Microbiology网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0661086<br><br> <br><br>书目名称Nanotechnology for Advances in Medical Microbiology网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0661086<br><br> <br><br>书目名称Nanotechnology for Advances in Medical Microbiology被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0661086<br><br> <br><br>书目名称Nanotechnology for Advances in Medical Microbiology被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0661086<br><br> <br><br>书目名称Nanotechnology for Advances in Medical Microbiology年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0661086<br><br> <br><br>书目名称Nanotechnology for Advances in Medical Microbiology年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0661086<br><br> <br><br>书目名称Nanotechnology for Advances in Medical Microbiology读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0661086<br><br> <br><br>书目名称Nanotechnology for Advances in Medical Microbiology读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0661086<br><br> <br><br>无孔 发表于 2025-3-21 22:35:34
Ranjit Pabbati,Venkateswar Reddy Kondakindi,Firdoz Shaiks on the representation of incomplete preferences using convex polyhedra of possible utilities and is based on linear programming both for minimizing regrets and selecting informative preference queries. It enables to incrementally collect preference judgements from the agents until the Borda winner和平主义 发表于 2025-3-22 03:37:11
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Ranjit Pabbati,Afreen Fathima,Jaime Humberto Flores Garcia,Venkateswar Reddy Kondakindi of the original Bayesian network is done by ., i.e., convex sets of probability mass functions. Without any lack of generality, we show how this can be done by simply estimating the bounds of likelihoods of the observations for the different values of the observed variables. Overall, the Bayesian nHALL 发表于 2025-3-22 16:43:48
Nabarun Chandra Das,Bishnupada Roy,Ritwik Patra,Abhigyan Choudhury,Madhureema Ghosh,Suprabhat Mukher regret of the recommended alternative. We interleave the analysis of the set of alternatives with the elicitation of the parameters of the aggregation function (weighted sum or ordered weighted average). Numerical tests have been performed to evaluate the interest of the proposed approach.上坡 发表于 2025-3-22 20:56:20
Govindh Boddeti,Venu Reddy,B. S. Diwakarquivalent. We refine existing criteria by considering the internal structure of arguments and propose new ones. Then, we identify cases where two systems are equivalent. In particular, we show that under some reasonable conditions on the logic underlying an argumentation system, the latter has an eq珠宝 发表于 2025-3-22 21:33:20
Ranjit Pabbati,Moulika Aerupula,Firdoz Shaik,Venkateswar Reddy Kondakindisigned to overcome the above issues. In particular, our UK-medoids algorithm employs distance functions properly defined for uncertain objects, and exploits a K-medoids scheme. Experiments have shown that UK-medoids outperforms existing algorithms from an accuracy viewpoint while achieving reasonablchlorosis 发表于 2025-3-23 03:06:34
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