Titlebook: Interval / Probabilistic Uncertainty and Non-classical Logics; Van-Nam Huynh,Yoshiteru Nakamori,Hung T. Nguyen Book 2008 Springer-Verlag B

Hamper

兽皮

https://doi.org/10.1007/978-3-540-77664-2Analysis; fuzzy; genome; knowledge; knowledge base; knowledge-based system; knowledge-based systems; modeli

Ossification

Van-Nam Huynh,Yoshiteru Nakamori,Hung T. NguyenProceedings of the International Workshop on Interval/Probabilistic Uncertainty and Non Classical Logics (UncLog‘08), Ishikawa, Japan, March 25-28, 2008.Recent developments in Uncertainty and Non-clas

不整齐

Advances in Intelligent and Soft Computinghttp://image.papertrans.cn/i/image/472924.jpg

帐单

Fester

休闲

Cytokines

Trade-Off between Sample Size and Accuracy: Case of Static Measurements under Interval Uncertaintyent accuracy: .In general, we can combine these two ways, and make . measurements with a . measuring instrument. What is the appropriate trade-off between sample size and accuracy? This is the general problem that we address in this paper.

保全

Trade-Off between Sample Size and Accuracy: Case of Dynamic Measurements under Interval Uncertaintyent accuracy: .In general, we can combine these two ways, and make . measurements with a . measuring instrument. What is the appropriate trade-off between sample size and accuracy? In our previous paper, we solved this problem for the case of static measurements. In this paper, we extend the results to the case of dynamic measurements.

negotiable

Estimating Quality of Support Vector Machines Learning under Probabilistic and Interval Uncertainty: data, this same classification can be a bad fit for the actual values (which are somewhat different from the nominal ones). In this paper, we show how to take this uncertainty into account when estimating the quality of the resulting classification.