Sentence examples for using the statistical pattern from inspiring English sources

In this article, we followed an extensive study in the diagnosis of voice disorders using the statistical pattern recognition techniques.

The collective responses from the reservoir of sensors was then analysed using the statistical pattern recognition algorithm DFA (as above).

In this work, position-specific frequency and hierarchical clustering analysis are used to explore the statistical pattern of the residues in the complementarity determining regions of human antibodies.

Haick and co-workers have developed highly sensitive, crossreactive, nanomaterial-based gas sensors that could classify different types of cancer in the exhaled breath, using statistical pattern recognition methods, irrespective of the patients' gender, lifestyle, smoking habits and other confounding factors.

But the statistical patterns are still striking.

At the national level, the statistical patterns we found regarding country differences in place of death for Parkinson's disease and factors affecting these statistical patterns can be used as a good starting point for both researchers and policy makers to strive for a better understanding of these differences and development of possible strategies for improvement.

Diagnostic classifiers were developed using statistical pattern recognition for the entire age range and for specific age ranges and were tested using cross-validation and by application to a separate cohort of recordings not used in the development process.

This constitutes its so-called audio signature which can be revealed and subsequently identified automatically using statistical pattern analysis techniques.

BDL, below detection limit Patterns were identified using statistical pattern matching [ 23, 24] by assigning each gene as significantly "up", "down", or "no change" detected in each tissue.

In particular, we propose to use statistical pattern recognition methods to address damage classification and data mining issues associated with the examination of large numbers of impedance signals for health monitoring applications.

Corpus-based measures aim to identify the degree of similarity between text units using statistical patterns of words derived from large corpora, where the most representative measures are cosine similarity, averaged Kullback Leibler divergence (KLD) and the squared Euclidean distance [ 15].