Sentence examples for gender prediction from inspiring English sources

And a public example focussed on the gender prediction technology called How-Female.net would have run into public relations trouble.

Armed with this information, Amazon.com can make better recommendations, but using the system it had in place only provided 65percentt gender prediction accuracy.

Classification rates are reported on the QUWI dataset, reaching 74.05% for gender prediction, 55.76% for age range prediction, and 53.66% for nationality prediction when all writers produce the same handwritten text and 73.59% for gender prediction, 60.62% for age range prediction, and 47.98% for nationality prediction when each writer produces different handwritten text.

They evaluated the prediction performance of each feature category using multiple learning algorithms and reported an accuracy of 55% for gender prediction and 24% for age prediction using only isolated link features.

We here investigate the applicability of our framework beyond gender prediction: (1) general applicability of the framework for prediction tasks using mobile phone data, (2) applicability of the framework for the identification of vulnerable populations beyond gender.

They built a user-Web page bipartite graph by using the logs of a particular Web site, and applied smoothing techniques to overcome data sparseness, and found the proposed model achieves good performance in age and gender prediction.

This dimensionality reduction will be based on fuzzy conceptual reduction through the application of the Lukasiewicz implication. 1 https://www.kaggle.com/c/icdar2013-gender-prediction-from-handwriting.

There is always the potential for error with gender-prediction birth charts, and putting too much stock in a tool such as this can lead to disappointment or expensive mistaken purchases if the calculation is incorrect.

The identified risk factors varied by gender; the prediction tool for females included the age group, cognitive impairment, anxiety, anxiolytic use, and wandering training.

In our experiments, our confounder correcting SVM (ccSVM) improves tumor diagnosis based on samples from different labs, tuberculosis diagnosis in patients of varying age, ethnicity and gender, and phenotype prediction in the presence of population structure and outperforms state-of-the-art methods in terms of prediction accuracy.

Exploratory analyses also revealed a gender effect, with prediction of emotional response largely attributable to females.