Browsing Stephan, Matthew by Issue Date
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Statistical analysis of baseball has long been popular, albeit only in limited capacity until relatively recently. The recent proliferation of computers has added tremendous power and opportunity to this field. Even an ...
Using machine learning (ML) for big data is challenging, requiring specialized knowledge of the domain, learning algorithms, and software engineering. To demonstrate the viability of model-driven engineering in the ML ...
This entry contains the supplemental material and data for our paper Emerging Trends in Collaborative Modelling: A Survey. Paper abstract: Just as in other engineering disciplines, software engineering is well suited ...
This entry contains all the artifacts created and data utilized in our research on developing a Machine Learning DSML, models, and software for a Baseball Case Study.