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A plausible reasoning for its free radical scavenging ability is discussed.
Textbook offers an accessible account of the theoretical foundations and computational methods that underlie plausible reasoning under uncertainty.
Probabilistic Reasoning in Intelligent Systems is a complete and accessible account of the theoretical foundations and computational methods that underlie plausible reasoning under uncertainty.
Some issues in approximates and plausible reasoning in the FrameWork of a possibility theory-based approach (pp. 263 287), France] are used to better asses petroleum field in different regions.
Plausible Reasoning module identifies the smallest set of botnets to explain observed evidences for all related hosts, verifies if the confidence level of the reasoning result is satisfactory.
SeeBot consists of four modules as shown in Figure 2, which are Evidence Mining (EM), Evidential Reasoning (ER), Plausible Reasoning (PR) and Action Selection (AS) modules.
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His comments hit all the formulaic benchmarks of the modern apology for being, or saying something, racist in the media: abject self-deprecation, noted honorable intention, semi-plausible reasoning and questionable contrition.
A plausible botnet reasoning problem is NP-complete.
A plausible botnet reasoning problem can be reduced to a Weighted Set Cover (WSC) problem as follows.
A plausible botnet reasoning problem is to find the minimal number of most likely botnets based on Plausible Bot Graph that explain all related evidences with investigated hosts.
Thus, the plausible botnet reasoning is to find a collection of covers (i.e., botnets) such that ⋃ b i ∈ B H b i = H with min ( ∑ b i ∈ B W ( H b i ) ).
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CEO of Professional Science Editing for Scientists @ prosciediting.com