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The Artificial Neural Network (ANN) method uses computer algorithms (machine learning), applying non-linear statistics to pattern recognition.
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And today we're seeing the emergence of robotics and machine learning applied to agricultural practices".
The first of these he called "coaching networks," which is another way of describing machine learning applied to the enterprise.
For example, we have seen companies that are using machine learning applied to voice or online behaviors to dramatically improve the productivity and effectiveness of sales reps.
Although many consensus clustering methods have been successfully used for combining multiple classifiers in many areas such as machine learning, applied statistics, pattern recognition and bioinformatics, few consensus clustering methods have been applied for combining multiple clusterings of chemical structures.
The techniques used are typically based on sentiment lexicons that classify the affective polarity of vocabulary items, and on supervised machine learning applied to texts from which word and phrasal features have been extracted and that have been hand-labeled as expressing positive or negative attitudes towards some theme.
Matt Escobar, Postdoctoral researcher on machine learning applied to chemical engineering, University of Tokyo.
Machine learning applied to information from a disease-specific (cancer) database and the EAR can be used to predict clinical outcomes.
In conclusion, machine learning applied to information from a disease-specific (cancer) database and the EAR can be used to predict outcomes.
Her research interest is in sentiment analysis, data mining, machine learning, and applying text processing techniques to medical data extraction and integration.
In this paper we propose an integrative machine learning approach applying a broad list of the described tools.
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