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

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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 ...

So far, since launching in 2016, Brevard County's Save Our Indian River Lagoon or SOIRL program has taken on 201 projects that are either already finished or currently underway. The program, funded by ...

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 ...

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

Increases in computing power and the availability of more data through social media and crowdsourcing have facilitated the use of machine-learning in psychological research. Machine learning has been ...

Fujian Key Laboratory of Agricultural Information Sensor Technology, College of Mechanical and Electrical Engineering, Fujian Agriculture and Forestry University, Fuzhou, Fujian 350002, China Center ...

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 ...