It was used in many fields including machine learning, pattern recognition, image analysis, information retrieval, and bioinformatics.
Various applications of AI in everyday life include machine learning, pattern recognition, robotics, data processing and analysis, etc.
We investigated whether functional network connectivity (FNC) measures were predictive of substance abuse treatment completion using machine learning pattern classification of functional magnetic resonance imaging data.
Nonlinear dimensionality reduction is a challenging problem encountered in a variety of high dimensional data analysis, including machine learning, pattern recognition, scientific visualization, and neural computation.
Rough set is a powerful theory proposed by Pawlak in 1982 [14, 15], which is applied to data mining, machine learning, pattern recognition, and feature selection successfully [16 19].
As a kind of unsupervised learning method, clustering algorithm is a technique commonly used in data statistics and analysis which contains data mining, machine learning, pattern recognition, image analysis, and many other areas.
Part of this seems to lie in how machine learning patterns human interest.
And so technologies for dealing with the challenge have evolved – in the form of clusters of up to 50,000 computers, running specialised parallel-processing software and algorithms for machine-learning, pattern-recognition and other functions.
Thus, various machine learning and pattern recognition techniques have been proposed to detect breast cancer.
Many classical machine learning or pattern recognition algorithms were used to infer emotion states.
Rough set theory has been extensively discussed in machine learning and pattern recognition.
