Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more. IEEE Keywords Pervasive computing , Adaptive learning , Accuracy , Social networking ...

In the era of Artificial Intelligence and Machine Learning, data analysis is attracting higher attention in different areas which include finance, healthcare, w ...

ABSTRACT: Mathematical optimization is a fundamental aspect of machine learning (ML). An ML task can be conceptualized as optimizing a specific objective using the training dataset to discern patterns ...

1 School of Taxation and Public Administration, Shanghai Lixin University of Accounting and Finance, Shanghai, China. 2 School of Business, Computing and Social Sciences, University of Gloucestershire ...

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...

A Python package following the scikit-learn API for model-based clustering and generalized mixture modeling (latent class/profile analysis) of continuous and categorical data. StepMix handles missing ...

KANSAS CITY, Mo. — Andy Reid likes to point out that his star quarterback doesn’t merely pay attention to the NFL Draft each spring but studies it intently, scouring the class of college prospects so ...

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...