Sentence examples for sequential selection method from inspiring English sources
The WSN nodes are distributed in an optimal layout determined by a sequential selection method based on the representativeness of each sensor.
This algorithm determines the ranking of the features based on a backward sequential selection method that removes one feature at a time.
In fact, the iterative sequential selection method used here is almost identical to the Sequential Forward Selection (SFS) method common in the wrapper approach where features are added one by one based on their accumulative classification performance.
An analogy can be drawn between the classifier in the wrapper approach and the transformation method used in this approach, and a similar analogy exists between the search strategy in the wrapper approach and the iterative sequential selection method used here.
A straightforward and quick procedure called Sequential Forward Selection method is used for feature selection process.
An alternative for medical imagery consists of the "scattershot" approach that first extracts a large number of features from an image and then reduces the dimensionality of the feature space by applying a feature selection algorithm such as the Sequential Forward Selection method.
Besides the standard sequential feature selection methods, this paper analyzes two unsupervised transformation-based approaches – Principal Component Analysis and Locality Preserving Projections – and the Local Fisher Discriminant Analysis (LFDA), which works in a supervised manner.
Multiple textural features based on histogram and gray level co-occurrence matrix were extracted from the segmented images and ranked them automatically using the sequential forward feature selection method in order to select the best minimal features for the classification purpose.
S6 was derived using the sequential forward feature selection method as in.
To determine the optimal number of joinpoints, the model selection method used sequential permutation tests.
The main contribution of this paper is a novel methodology that aggregates scale-free properties to a classical low-cost feature selection method, known as Sequential Floating Forward Selection (SFFS), for guiding the inference task.
