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Titlebook: Web Information Systems and Technologies; 10th International C Valérie Monfort,Karl-Heinz Krempels Conference proceedings 2015 Springer Int

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51#
發(fā)表于 2025-3-30 08:16:51 | 只看該作者
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發(fā)表于 2025-3-30 15:35:03 | 只看該作者
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發(fā)表于 2025-3-30 16:33:03 | 只看該作者
54#
發(fā)表于 2025-3-30 23:35:25 | 只看該作者
e of α(.) and .. If . is concave and |.|≤. for .∈., then a necessary and sufficient condition for a bounded plan ψ* to maximize the probability of detecting the target alive among all bounded plans which satisfy ∫.ψ(.)d.=..(.) for .≥0 is the existence of a function λ=[0,∞) → [0,∞) such that
55#
發(fā)表于 2025-3-31 03:55:52 | 只看該作者
56#
發(fā)表于 2025-3-31 07:27:57 | 只看該作者
Manuel Serranoorantssupport the integrand on generalizedbarycenters of simplicial faces of specially shapedpolytopes and amount to an approach which is denotedbarycentric approximation scheme.978-3-540-56097-5978-3-642-95696-6Series ISSN 0075-8442 Series E-ISSN 2196-9957
57#
發(fā)表于 2025-3-31 11:23:22 | 只看該作者
Jean-No?l Colin,Hoang Minh Tienr with the trade-off rates among the values of the membership functions and the degree .. Then by considering the current values of the membership functions and . as well as the trade-off rates, the DM responds by updating his/her reference membership values and/or the degree .. In this way the (loc
58#
發(fā)表于 2025-3-31 14:30:30 | 只看該作者
59#
發(fā)表于 2025-3-31 21:25:29 | 只看該作者
Tomasz Müldner,Jan Krzysztof Mizio?ek,Tyler Corbins to make volatility dependent on the variability of past observations. An alternative formulation initiated by Taylor (1986) makes volatility be driven by unobserved components, and has come to be known as the stochastic volatility (SV) model. As for the ARCH models, SV models have also been intens
60#
發(fā)表于 2025-3-31 23:41:16 | 只看該作者
Sebastian K?bisch,Richard Kuntschkeis approach we consider some examples and invoke Puiseux’s original 1850 theorem to explicitly compute the required Puiseux series expansions. As a special case we show that our method gives an elegant proof of the now classical result, that solutions to the limit discount equations of Markov decisi
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