The approach of Bastolla and co-workers [ 9] to was used to score folding under a knowledge-based model, and adapted to scoring protein-protein interactions.
This is because it has the fewer number of nodes which generate fake messages when the value of r1 × ε is small, and the attacker can guess the sink's location with a high probability under having a knowledge of the area where the real sink is.
It is therefore of high importance to fully understand the mechanisms employed by plants under P deficiency as a knowledge base for the development of smart plants with increased capacity to mine and efficiently use Pi.
In this evaluation we assess the adequacy of PROforma and the Tallis implementation as a knowledge engineering tool under three headings: knowledge acquisition, system design and implementation, noting that in practice these three phases overlap.
Bayesian belief networks are being increasingly used as a knowledge representation for reasoning under uncertainty.
The framework integrates diverse and dynamic knowledge sources in the form of rule-based ADE signals, all under a uniform Knowledge Base (KB) structure, according to the defined knowledge model.
The study and design of structures under dynamic loads require a knowledge of the plastic response and deformation behavior under impact loading.
This figure also shows the performance of the ML estimator under a perfect knowledge of the PLE, which is unbiased and serves as a practical performance reference.
Equation (41) reveals that the approximate MSE (in dB) of the ML estimator of the ToA under a perfect knowledge of the PLE is a normal random variable with mean E ψ ε 2 ( τ 0, γ, ψ ) dB γ = γ 0 = − 20 log 10 a 0 − 10 log 10 S N × 8 π 2 β ̄ 2 + γ 0 2 2 τ 0 2, (42).
In addition, we describe how to construct and maintain a knowledge base under this model.
In this paper, we introduce a novel analysis of the performance of the maximum likelihood (ML) estimator of the ToA under an imperfect knowledge of the PLE.
