The phrase "approach for pattern" is not correct and does not convey a clear meaning in written English.
It may be intended to refer to a method or strategy for identifying or analyzing patterns, but it lacks clarity and context.
Example: "We need to develop a better approach for pattern recognition in our data analysis."
Alternatives: "method for pattern" or "strategy for pattern".
This interesting approach has been suggested by several authors including [ 46] or [ 48] and is often referred to as the "golden" approach for pattern problems.
The system extracts features from voice recordings and considers an advanced statistical approach for pattern recognition.
This paper describes an approach for pattern recognition using genetic algorithm and general regression neural network (GRNN).
Artificial neural networks (ANN), have shown to be an effective, general-purpose approach for pattern recognition, classification, clustering, and prediction.
We have developed a complementary approach for pattern identification in non-sequence data with a largely overlapping range of applications, called discovery of all significant substructures (DASS) (Hollunder et al., 2007a).
Our results suggest that machine learning is a powerful and feasible approach for pattern recognition, culminating in a new integrated approach to disease classification for childhood arthritis that provides insight into the biology underlying clinical heterogeneity.
The study by Olivier Soppera from theDépartement de Photochimie Génèrale and his colleagues at theInstitut de Chimie des Surfaces et Interfaces, Université de Haute-Alsace in France, has taken plasma polymerization to another level and demonstrated a new approach for patterning solid surfaces with reactive groups by utilizing the maleic anhydride pulsed plasma polymerization technique.
While genome-wide gene expression data are generated at an increasing rate, the repertoire of approaches for pattern discovery in these data is still limited.
Pattern-based model transformation has emerged as an approach for incorporating pattern properties into a design model.
An improved approach for Bayer CFA pattern identification was presented using an intermediate value-counting algorithm [25].
Then, an adaptive approach for graph pattern matching is presented, where the optimal search plan can be selected from previously generated search plans at run-time based on statistical data collected from the current instance model under transformation.
