Sentence examples for knowledge based methods from inspiring English sources

On the other hand, the use of formalisms which do not require hard formalizations of expert knowledge (such as to transform them into probability distributions or algebraic equations) permits to eliminate one of the strongest limitations of classical knowledge-based methods and other prior knowledge based methods (such as bayessian methods or structural equations).

Design methods can be divided into classic (analytical tuning methods, optimization methods etc.) and not so common fuzzy knowledge based methods.

In this paper we propose a coupling between two knowledge based methods: Case Based Reasoning and Constraint Satisfaction Problem to accelerate preliminary design by on line knowledge acquisition during problem solving episodes.

The computational approaches for in silico prediction can be roughly categorized into genome based approaches, network topology based approaches, literature knowledge based methods, and structure based approaches [ 11].

Knowledge based methods proceed by deriving an empirical potential (also known as statistical potential) from the frequency of residue contacts in the known structures of native proteins.

The knowledge based method has the potential to save time and expensive human resources by automating the risk analysis of fraudulent loan processing cases reported by banks.

The MSAs obtained from this pipeline were then annotated with structural and functional information using MACSIMS [ 63], an information management system that combines knowledge-based methods with complementary ab initio sequence-based predictions.

With the growing amount of available high resolution membrane protein structures (Garman, 2014; White, 2004) the template situation for homology modelling procedures is improving quickly and, even more important for this work, it is gradually becoming possible to adapt knowledge-based methods to this class of models.

This new physics-based validation tool, CheShift-2, should be used as a complementary one to other existing knowledge-based methods, such as WHAT IF (Vriend, 1990) and PROCHECK (Laskowski et al., 1993), or combined knowledge-based and physics-based methods, such as the PSVS package (Huang et al., 2005; Bhattacharya et al., 2007).

In this study, based on China's GaoFen-1 (GF-1) high spatial resolution remote sensing images and a reference dataset, an information extraction technology based on a combination of pixel-, object-, and knowledge- based methods is developed to classify the land covers in urban built-up areas (BUAs) of Shanghai, China.

Identity management through biometrics offer potential advantages over knowledge and possession based methods.