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The paper focuses on the estimation of similarity in construction schedules, describing feature-based methods and similarity measure definitions in detail.
To create this framework, an experimental design applies several CF configurations, which are characterized by different data-reduction techniques, CF methods, and similarity measures, to binary purchase data sets with distinct input data characteristics, i.e., sparsity level, purchase distribution, and item user ratio.
In this way, all alignment methods and similarity measures were assessed on an equal basis, no matter at which alignment ratio cutoff point.
These can be broadly classified as nucleotide compositional methods, phylogenetic methods and similarity based methods.
To address this problem, we have created the Peptide Binding Protein Database (PepBind), which contains 3100 available protein structures from the PDB, irrespective of the structure determination methods and similarity in their protein backbone.
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Gene prediction methods can be roughly classified into two main categories, called ab initio, or intrinsic, methods and similarity-based, or extrinsic, methods (see [17, 30] for an extensive review on this topic).
Another new method based on EMP method and similarity constraints [6] can suppress multiple mainlobe interferences.
The proper results of the evaluation show that the proposed method and similarity metrics are sufficient for the recognition of process patterns in construction schedules.
Semantic concept similarity methods and tree similarity techniques have wide range of applications in machine learning [1], e-business [2], e-learning [3], information retrieval [1], case-based reasoning (CBR) [4], image processing and analysis [5], and bioinformatics [5].
Finally, we discuss the benefits of using niche-based models to select the indicator species, instead of using classical ordination methods, twinspan and similarity percentage analysis.
The predicted results of the interaction-based method and similarity-based method on the training and test datasets are as follows.
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methods and agreement
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processes and similarity
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