This article presents an alternative method, combining knowledge in social science and natural determinisms to build contrasting socio-hydrological scenarios that do not share the same hypotheses regarding their respective key issues.
The method combines prior knowledge on the structure of the vehicle, based on the analysis of vertical symmetry of the rear, with appearance-based feature training using a new HOG-based descriptor and SVM.
This method combines domain knowledge derived from Genbank with an iterative approach designed to produce a subset of genes that was enriched for use in cluster identification.
The method employs a combined knowledge- and data-based approach, and the underlying fuzzy potential membership function concept models expert knowledge, closely mirroring human cognition.
The method works by combining knowledge of the location and size of the tissue sample of interest from X-ray mammography with multi-frequency electrical measurements made on the breast surface (in a configuration similar to the mammogram, as in [9]) and with Support Vector Machine (SVM) classifier techniques.
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.
In particular, this method combines data-mining with experts' knowledge to build patent-training examples, and then uses a support vector machine-based classifier to single out all high-quality patents for each innovation attribute.
The RRR method combines the strengths of a priori and exploratory approaches (9) by using prior knowledge in the selection of response variables, which is a clear advantage.
Behavioral surveillance surveys define comprehensive knowledge by combining knowledge of preventive methods with the ability to reject prevailing common misconceptions.
Again, the method does not make use of the structure of the network, nor does it provide a systemic account for the combined knowledge of pathways to reduce to an optimal set of classifying processes.
